Derong Liu

Orcid: 0000-0003-3715-4778

Affiliations:
  • University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
  • Guangdong University of Technology, School of Automation, Guangzhou, China
  • University of Illinois at Chicago, IL, USA
  • Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China (2010 - 2015)
  • Stevens Institute of Technology, Department of Electrical and Computer Engineering, Hoboken, NJ, USA (1995 - 1999)
  • University of Notre Dame, IN, USA (PhD 1994)


According to our database1, Derong Liu authored at least 386 papers between 1993 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Novel Online Adaptive Dynamic Programming Algorithm With Adjustable Convergence Rate.
IEEE Trans. Circuits Syst. I Regul. Pap., March, 2024

Liquid-Updating Impulsive Adaptive Dynamic Programming for Continuous Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Stable approximate Q-learning under discounted cost for data-based adaptive tracking control.
Neurocomputing, February, 2024

Event-Triggered Robust Adaptive Dynamic Programming for Multiplayer Stackelberg-Nash Games of Uncertain Nonlinear Systems.
IEEE Trans. Cybern., January, 2024

Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications.
IEEE CAA J. Autom. Sinica, January, 2024

Event-Triggered Decentralized Integral Sliding Mode Control for Input-Constrained Nonlinear Large-Scale Systems With Actuator Failures.
IEEE Trans. Syst. Man Cybern. Syst., 2024

2023
Event-Triggered Local Control for Nonlinear Interconnected Systems Through Particle Swarm Optimization-Based Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Adaptive Dynamic Programming-Based Cooperative Motion/Force Control for Modular Reconfigurable Manipulators: A Joint Task Assignment Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A Novel Value Iteration Scheme With Adjustable Convergence Rate.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Adaptive dynamic programming-based hierarchical decision-making of non-affine systems.
Neural Networks, October, 2023

Fault tolerant control for a class of nonlinear systems with multiple faults using neuro-dynamic programming.
Neurocomputing, October, 2023

An Efficient Impulsive Adaptive Dynamic Programming Algorithm for Stochastic Systems.
IEEE Trans. Cybern., September, 2023

Deep Learning-Based Trajectory Planning and Control for Autonomous Ground Vehicle Parking Maneuver.
IEEE Trans Autom. Sci. Eng., July, 2023

Policy gradient adaptive dynamic programming for nonlinear discrete-time zero-sum games with unknown dynamics.
Soft Comput., May, 2023

Adaptive Dynamic Programming-Based Event-Triggered Robust Control for Multiplayer Nonzero-Sum Games With Unknown Dynamics.
IEEE Trans. Cybern., 2023

Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems.
Neural Networks, 2023

Hierarchical Decision Problems for Non-Affine Multi-Player Systems.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

Event-Triggered Constrained H<sub>∞</sub> Control Using Concurrent Learning and ADP.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Event-Triggered Control of Discrete-Time Zero-Sum Games via Deterministic Policy Gradient Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Constrained Event-Triggered H<sub>∞</sub> Control Based on Adaptive Dynamic Programming With Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Policy Gradient Adaptive Critic Designs for Model-Free Optimal Tracking Control With Experience Replay.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game.
IEEE Trans. Neural Networks Learn. Syst., 2022

Leader-Following Mean-Square Consensus of Stochastic Multiagent Systems With ROUs and RONs via Distributed Event-Triggered Impulsive Control.
IEEE Trans. Cybern., 2022

Event-Triggered ADP for Tracking Control of Partially Unknown Constrained Uncertain Systems.
IEEE Trans. Cybern., 2022

Offline and Online Adaptive Critic Control Designs With Stability Guarantee Through Value Iteration.
IEEE Trans. Cybern., 2022

A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method.
IEEE Trans. Autom. Control., 2022

Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.
Neural Networks, 2022

DMPP: Differentiable multi-pruner and predictor for neural network pruning.
Neural Networks, 2022

Adaptive critic designs for decentralised robust control of nonlinear interconnected systems via event-triggering mechanism.
Int. J. Syst. Sci., 2022

Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay.
Neurocomputing, 2022

Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control.
IEEE CAA J. Autom. Sinica, 2022

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks.
CoRR, 2022

Particle Swarm optimization-Based Neuro-Dynamic Programming for Nonzero-Sum Games of Multi-Player Nonlinear Systems.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

Optimal Event-Triggered Impulsive Control for Stochastic Systems using ADP.
Proceedings of the 7th International Conference on Automation, 2022

2021
Adaptive Dynamic Programming for Control: A Survey and Recent Advances.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Robust Exponential Synchronization for Memristor Neural Networks With Nonidentical Characteristics by Pinning Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2021

Learning Control for Air Conditioning Systems via Human Expressions.
IEEE Trans. Ind. Electron., 2021

Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure.
IEEE Trans. Cybern., 2021

Policy Iteration Q-Learning for Data-Based Two-Player Zero-Sum Game of Linear Discrete-Time Systems.
IEEE Trans. Cybern., 2021

Periodic Event-Triggered Suboptimal Control With Sampling Period and Performance Analysis.
IEEE Trans. Cybern., 2021

Event-triggered adaptive dynamic programming for multi-player zero-sum games with unknown dynamics.
Soft Comput., 2021

Generalized value iteration for discounted optimal control with stability analysis.
Syst. Control. Lett., 2021

Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems.
Neural Networks, 2021

Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems.
Neural Networks, 2021

Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee.
Neural Networks, 2021

Integral Reinforcement Learning-Based Optimal Control for Nonzero-Sum Games of Multi-Player Input-Constrained Nonlinear Systems.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

2020
Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Editorial Special Issue on Adaptive Dynamic Programming and Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Neuro-Optimal Control for Discrete Stochastic Processes via a Novel Policy Iteration Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Model-Free H<sub>∞</sub> Optimal Tracking Control of Constrained Nonlinear Systems via an Iterative Adaptive Learning Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Event-Triggered Adaptive Critic Control Design for Discrete-Time Constrained Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2020

Relaxed Stability Criteria for Neural Networks With Time-Varying Delay Using Extended Secondary Delay Partitioning and Equivalent Reciprocal Convex Combination Techniques.
IEEE Trans. Neural Networks Learn. Syst., 2020

Event-Triggered Optimal Control With Performance Guarantees Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2020

Event-Triggered Decentralized Tracking Control of Modular Reconfigurable Robots Through Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2020

Continuous-Time Time-Varying Policy Iteration.
IEEE Trans. Cybern., 2020

Integral reinforcement learning based event-triggered control with input saturation.
Neural Networks, 2020

Improved value iteration for neural-network-based stochastic optimal control design.
Neural Networks, 2020

Event-triggered adaptive dynamic programming for discrete-time multi-player games.
Inf. Sci., 2020

Event-triggered constrained control with DHP implementation for nonaffine discrete-time systems.
Inf. Sci., 2020

Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay.
Int. J. Syst. Sci., 2020

Deterministic policy gradient adaptive dynamic programming for model-free optimal control.
Neurocomputing, 2020

Adaptive dynamic programming based event-triggered control for unknown continuous-time nonlinear systems with input constraints.
Neurocomputing, 2020

Adaptive synchronization of memristor-based neural networks with discontinuous activations.
Neurocomputing, 2020

Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks.
IEEE CAA J. Autom. Sinica, 2020

Fault tolerant tracking control for nonlinear systems with actuator failures through particle swarm optimization-based adaptive dynamic programming.
Appl. Soft Comput., 2020

Approximate Optimal Control of Nonlinear Systems with Mismatched Perturbations Based on Asymptotically Stable Critic Neural Network.
Proceedings of the ICCDE 2020: The 6th International Conference on Computing and Data Engineering, 2020

2019
Event-Triggered Optimal Neuro-Controller Design With Reinforcement Learning for Unknown Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Output Tracking Control Based on Adaptive Dynamic Programming With Multistep Policy Evaluation.
IEEE Trans. Syst. Man Cybern. Syst., 2019

An echo state network based approach to room classification of office buildings.
Neurocomputing, 2019

Special issue on Neural Information Processing for Optimization and Applications.
Appl. Soft Comput., 2019

Event-Triggered Adaptive Control for Discrete-Time Zero-Sum Games.
Proceedings of the International Joint Conference on Neural Networks, 2019

Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries.
Proceedings of the International Joint Conference on Neural Networks, 2019

Pinning Control for Synchronization of Drive-Response Memristive Neural Networks with Nonidentical Parameters.
Proceedings of the International Joint Conference on Neural Networks, 2019

Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Decentralized Control for Large-Scale Nonlinear Systems With Unknown Mismatched Interconnections via Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Data-Based Optimal Control for Weakly Coupled Nonlinear Systems Using Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive Dynamic Programming for Discrete-Time Zero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., 2018

On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H<sub>∞</sub> Control.
IEEE Trans. Neural Networks Learn. Syst., 2018

Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties.
IEEE Trans. Neural Networks Learn. Syst., 2018

Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure.
IEEE Trans. Neural Networks Learn. Syst., 2018

Manifold Regularized Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Intelligent Optimal Control With Critic Learning for a Nonlinear Overhead Crane System.
IEEE Trans. Ind. Informatics, 2018

Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay.
IEEE Trans. Cybern., 2018

Distributed algorithm for dissensus of a class of networked multiagent systems using output information.
Soft Comput., 2018

Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems.
Neural Networks, 2018

Neural robust stabilization via event-triggering mechanism and adaptive learning technique.
Neural Networks, 2018

Connectivity preservation of second-order nonlinear multiagent systems with hybrid event-driven and time-driven control.
Int. J. Syst. Sci., 2018

Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control.
Neurocomputing, 2018

Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2018

Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Neural Networks.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics, 2018

2017
Error Bound Analysis of Q-Function for Discounted Optimal Control Problems With Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Event-Based Constrained Robust Control of Affine Systems Incorporating an Adaptive Critic Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2017

Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids.
IEEE Trans. Ind. Electron., 2017

An Indirect Data-Driven Method for Trajectory Tracking Control of a Class of Nonlinear Discrete-Time Systems.
IEEE Trans. Ind. Electron., 2017

Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application.
IEEE Trans. Ind. Electron., 2017

Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System.
IEEE Trans. Ind. Electron., 2017

Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2017

Adaptive Critic Nonlinear Robust Control: A Survey.
IEEE Trans. Cybern., 2017

Improving the Critic Learning for Event-Based Nonlinear H<sub>∞</sub> Control Design.
IEEE Trans. Cybern., 2017

Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control.
IEEE Trans. Cybern., 2017

Optimization of electricity consumption in office buildings based on adaptive dynamic programming.
Soft Comput., 2017

Pinning synchronization of memristor-based neural networks with time-varying delays.
Neural Networks, 2017

Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems.
Inf. Sci., 2017

Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems.
Inf. Sci., 2017

Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems.
Int. J. Syst. Sci., 2017

A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm.
Int. J. Syst. Sci., 2017

Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems.
Neurocomputing, 2017

Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming.
Neurocomputing, 2017

Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2017

Fault detection and control co-design for discrete-time delayed fuzzy networked control systems subject to quantization and multiple packet dropouts.
Fuzzy Sets Syst., 2017

Data-based robust near-optimal decentralized stabilization of unknown large-scale systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Local Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Neuro-control of Nonlinear Systems with Unknown Input Constraints.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Synchronization of Memristor-Based Time-Delayed Neural Networks via Pinning Control.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Event-Triggered Heuristic Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Partially-Directed-Topology-Based Consensus Control for Linear Multi-agent Systems.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Adaptive critic designs for solving event-based H∞ control problems.
Proceedings of the 2017 American Control Conference, 2017

Optimal management of office energy consumption via Q-learning algorithm.
Proceedings of the 2017 American Control Conference, 2017

2016
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2016

An Approximate Optimal Control Approach for Robust Stabilization of a Class of Discrete-Time Nonlinear Systems With Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Neural-Network-Based Distributed Adaptive Robust Control for a Class of Nonlinear Multiagent Systems With Time Delays and External Noises.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Model-Free Optimal Tracking Control via Critic-Only Q-Learning.
IEEE Trans. Neural Networks Learn. Syst., 2016

Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems.
IEEE Trans. Cybern., 2016

Neuro-optimal tracking control for a class of discrete-time nonlinear systems via generalized value iteration adaptive dynamic programming approach.
Soft Comput., 2016

A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization.
Soft Comput., 2016

Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems.
Inf. Sci., 2016

Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning.
Inf. Sci., 2016

Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties.
Inf. Sci., 2016

Bipartite output consensus in networked multi-agent systems of high-order power integrators with signed digraph and input noises.
Int. J. Syst. Sci., 2016

Adaptive tracking control of leader-following linear multi-agent systems with external disturbances.
Int. J. Syst. Sci., 2016

Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming.
Neurocomputing, 2016

Data-driven controller design for general MIMO nonlinear systems via virtual reference feedback tuning and neural networks.
Neurocomputing, 2016

Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation.
Neurocomputing, 2016

Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks.
Neurocomputing, 2016

Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy.
Neurocomputing, 2016

Energy consumption prediction of office buildings based on echo state networks.
Neurocomputing, 2016

Iterative Q-learning-based nonlinear optimal tracking control.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Discrete-Time Two-Player Zero-Sum Games for Nonlinear Systems Using Iterative Adaptive Dynamic Programming.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Adaptive dynamic programming based fault compensation control for nonlinear systems with actuator failures.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Optimal self-learning control scheme for discrete-time nonlinear systems using local value iteration.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An adaptive dynamic programming based method for optimization of electricity consumption in office buildings.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Distributed control of second-order nonlinear time-delayed multiagent systems with disturbance using neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Neural-network-based robust optimal control of uncertain nonlinear systems using model-free policy iteration algorithm.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Optimal Constrained Neuro-Dynamic Programming Based Self-learning Battery Management in Microgrids.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Neural Dynamic Programming for Event-Based Nonlinear Adaptive Robust Stabilization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Data-Based Optimal Tracking Control of Nonaffine Nonlinear Discrete-Time Systems.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Improvement of reliable H∞ control for discrete-time fuzzy systems with time-varying delays.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Adaptive-critic-based event-driven nonlinear robust state feedback.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Policy iteration for optimal control of weakly coupled nonlinear systems with completely unknown dynamics.
Proceedings of the 2016 American Control Conference, 2016

2015
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2015

Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems.
IEEE Trans. Neural Networks Learn. Syst., 2015

Farewell Editorial: Smooth Transition of IEEE TNNLS.
IEEE Trans. Neural Networks Learn. Syst., 2015

TNNLS Call for Reviewers and Special Issues.
IEEE Trans. Neural Networks Learn. Syst., 2015

Multibattery Optimal Coordination Control for Home Energy Management Systems via Distributed Iterative Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2015

A Novel Dual Iterative Q-Learning Method for Optimal Battery Management in Smart Residential Environments.
IEEE Trans. Ind. Electron., 2015

Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints.
IEEE Trans. Cybern., 2015

Reinforcement learning solution for HJB equation arising in constrained optimal control problem.
Neural Networks, 2015

Optimal distributed synchronization control for continuous-time heterogeneous multi-agent differential graphical games.
Inf. Sci., 2015

Convergence analysis and application of fuzzy-HDP for nonlinear discrete-time HJB systems.
Neurocomputing, 2015

Neural-network-based adaptive optimal tracking control scheme for discrete-time nonlinear systems with approximation errors.
Neurocomputing, 2015

Reliable observer-based H<sub>∞</sub> control for discrete-time fuzzy systems with time-varying delays and stochastic actuator faults via scaled small gain theorem.
Neurocomputing, 2015

Computational Energy Management in Smart Grids.
Neurocomputing, 2015

Centralized and decentralized event-triggered control for group consensus with fixed topology in continuous time.
Neurocomputing, 2015

Neural-network-based decentralized control of continuous-time nonlinear interconnected systems with unknown dynamics.
Neurocomputing, 2015

Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey.
Int. J. Autom. Comput., 2015

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2015

A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems.
Sci. China Inf. Sci., 2015

A New Discrete-Time Iterative Adaptive Dynamic Programming Algorithm Based on Q-Learning.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

H ∞ Control Synthesis for Linear Parabolic PDE Systems with Model-Free Policy Iteration.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Data-driven virtual reference controller design for high-order nonlinear systems via neural network.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Approximate policy iteration with unsupervised feature learning based on manifold regularization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Distributed Control for Nonlinear Time-Delayed Multi-Agent Systems with Connectivity Preservation Using Neural Networks.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Continuous-time group consensus using distributed event-triggered control.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

Neural-network-based finite horizon optimal control for partially unknown linear continuous-time systems.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

Adaptive dynamic programming for infinite horizon optimal robust guaranteed cost control of a class of uncertain nonlinear systems.
Proceedings of the American Control Conference, 2015

2014
A Truthful Multi-Channel Double Auction Mechanism for Heterogeneous Spectrums.
Wirel. Pers. Commun., 2014

Online Synchronous Approximate Optimal Learning Algorithm for Multi-Player Non-Zero-Sum Games With Unknown Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case.
IEEE Trans. Syst. Man Cybern. Syst., 2014

A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach.
IEEE Trans. Neural Networks Learn. Syst., 2014

Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014

Editorial TNNLS Special Issues and Editorial Board Changes.
IEEE Trans. Neural Networks Learn. Syst., 2014

Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2014

Stability Analysis for a Class of Systems: From Model-Based Methods to Data-Driven Methods.
IEEE Trans. Ind. Electron., 2014

Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2014

Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems.
IEEE Trans. Cybern., 2014

A Novel Iterative $\theta $-Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.
IEEE Trans Autom. Sci. Eng., 2014

Adaptive Dynamic Programming for Optimal Tracking Control of Unknown Nonlinear Systems With Application to Coal Gasification.
IEEE Trans Autom. Sci. Eng., 2014

Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems.
IEEE Trans Autom. Sci. Eng., 2014

Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics.
IEEE Trans Autom. Sci. Eng., 2014

Approximate optimal solution of the DTHJB equation for a class of nonlinear affine systems with unknown dead-zone constraints.
Soft Comput., 2014

Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning.
Neural Networks, 2014

Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems.
Neural Comput. Appl., 2014

Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming.
Inf. Sci., 2014

Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability.
Inf. Sci., 2014

Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay.
Neurocomputing, 2014

Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm.
Neurocomputing, 2014

Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints.
Int. J. Control, 2014

Optimal multiband joint detection in cognitive radio networks with the Taguchi method.
Int. J. Commun. Syst., 2014

Q-learning for Optimal Control of Continuous-time Systems.
CoRR, 2014

Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design.
Autom., 2014

Reinforcement-Learning-Based Controller Design for Nonaffine Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Near-optimal online control of uncertain nonlinear continuous-time systems based on concurrent learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Unmanned aerial vehicles (UAV) heading optimal tracking control using online kernel-based HDP algorithm.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Data-driven iterative adaptive dynamic programming algorithm for approximate optimal control of unknown nonlinear systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Output-based high-order bipartite consensus under directed antagonistic networks.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014

Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Optimal self-learning battery control in smart residential grids by iterative Q-learning algorithm.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.
IEEE Trans. Neural Networks Learn. Syst., 2013

A Data-Based State Feedback Control Method for a Class of Nonlinear Systems.
IEEE Trans. Ind. Informatics, 2013

Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems.
IEEE Trans. Cybern., 2013

A supervised Actor-Critic approach for adaptive cruise control.
Soft Comput., 2013

Special issue on intelligent control and information processing.
Soft Comput., 2013

A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints.
Neural Comput. Appl., 2013

Adaptive optimal control for a class of continuous-time affine nonlinear systems with unknown internal dynamics.
Neural Comput. Appl., 2013

A self-learning scheme for residential energy system control and management.
Neural Comput. Appl., 2013

Data-based stability analysis of a class of nonlinear discrete-time systems.
Inf. Sci., 2013

An iterative adaptive dynamic programming algorithm for optimal control of unknown discrete-time nonlinear systems with constrained inputs.
Inf. Sci., 2013

Neuro-optimal control for a class of unknown nonlinear dynamic systems using SN-DHP technique.
Neurocomputing, 2013

Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm.
Neurocomputing, 2013

Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming.
Int. J. Control, 2013

Data-based approximate policy iteration for nonlinear continuous-time optimal control design.
CoRR, 2013

Adaptive Dynamic Programming Algorithm for Renewable Energy Scheduling and Battery Management.
Cogn. Comput., 2013

Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Neural Network H ∞ Tracking Control of Nonlinear Systems Using GHJI Method.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Convergence analysis of continuous-time systems based on feedforward neural networks.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Stable iterative optimal control for discrete-time nonlinear systems using numerical controller.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2013

Observer-Based Adaptive Output Feedback Control for Nonaffine Nonlinear Discrete-Time Systems Using Reinforcement Learning.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Integral Policy Iteration for Zero-Sum Games with Completely Unknown Nonlinear Dynamics.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Neuro-Optimal Control of Unknown Nonaffine Nonlinear Systems with Saturating Actuators.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

A New Self-Learning Optimal Control Scheme for Discrete-Time Nonlinear Systems Using Policy Iterative Adaptive Dynamic Programming.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

Adaptive Dynamic Programming for Solving Non-Zero-Sum Differential Games.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

2012
Neural Networks and Learning Systems Come Together.
IEEE Trans. Neural Networks Learn. Syst., 2012

Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming.
IEEE Trans Autom. Sci. Eng., 2012

An iterative <i>ϵ</i>-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state.
Neural Networks, 2012

Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach.
Neurocomputing, 2012

Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming.
Autom., 2012

New robust stability results for bidirectional associative memory neural networks with multiple time delays.
Appl. Math. Comput., 2012

Optimal Cooperative Spectrum Sensing in Cognitive Radio with Taguchi Method.
Proceedings of the 76th IEEE Vehicular Technology Conference, 2012

Self-learning Control Schemes for Two-Person Zero-Sum Differential Games of Continuous-Time Nonlinear Systems with Saturating Controllers.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Temperature Control in Water-Gas Shift Reaction with Adaptive Dynamic Programming.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Optimal Battery Management with ADHDP in Smart Home Environments.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Adaptive dynamic programming with stable value iteration algorithm for discrete-time nonlinear systems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

H∞ control of unknown discrete-time nonlinear systems with control constraints using adaptive dynamic programming.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP Approach.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Generalized Hamilton-Jacobi-Isaacs Formulation-Based Neural Network H ∞ Control for Constrained Input Nonlinear Systems.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Data-Based Controllability and Observability Analysis of Linear Discrete-Time Systems.
IEEE Trans. Neural Networks, 2011

Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With varepsilon-Error Bound.
IEEE Trans. Neural Networks, 2011

Editorial: The Blossoming of the IEEE Transactions on Neural Networks.
IEEE Trans. Neural Networks, 2011

An Introduction to Parallel Control and Management for High-Speed Railway Systems.
IEEE Trans. Intell. Transp. Syst., 2011

Nonlinear Torque and Air-to-Fuel Ratio Control of SPARK Ignition Engines Using Neuro-Sliding Mode Techniques.
Int. J. Neural Syst., 2011

[CIS Publication Spotlight].
IEEE Comput. Intell. Mag., 2011

CIS Publication Spotlight.
IEEE Comput. Intell. Mag., 2011

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2011

An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games.
Autom., 2011

Finite Horizon Optimal Tracking Control for a Class of Discrete-Time Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Optimal Control for a Class of Unknown Nonlinear Systems via the Iterative GDHP Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Optimal control for discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Residential energy system control and management using adaptive dynamic programming.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Adaptive dynamic programming for optimal control of unknown nonlinear discrete-time systems.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Editorial: the IEEE transactions on neural networks 2010 and beyond.
IEEE Trans. Neural Networks, 2010

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2010

Adaptive dynamic programming for a class of discrete-time non-affine nonlinear systems with time-delays.
Proceedings of the International Joint Conference on Neural Networks, 2010

An iterative ADP approach for solving a class of nonlinear zero-sum differential games.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

Output synchronization of multiple mobile agents.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

2009
Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints.
IEEE Trans. Neural Networks, 2009

Generalized Receding Horizon Control of Fuzzy Systems Based on Numerical Optimization Algorithm.
IEEE Trans. Fuzzy Syst., 2009

Global Asymptotic Stability and Robust Stability of a Class of Cohen-Grossberg Neural Networks With Mixed Delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009

Epileptic Seizure Prediction by a System of Particle Filter Associated with a Neural Network.
EURASIP J. Adv. Signal Process., 2009

Adaptive Dynamic Programming: An Introduction.
IEEE Comput. Intell. Mag., 2009

Consensus value of multi-agent networked systems with time-delay.
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

A Biologically Inspired Adaptive Nonlinear Control Strategy for Applications to Powertrain Control.
Proceedings of the IEEE International Conference on Systems, 2009

LMI Based Global Asymptotic Stability Criterion for Recurrent Neural Networks with Infinite Distributed Delays.
Proceedings of the Advances in Neural Networks, 2009

Adaptive dynamic programming for discrete-time systems with infinite horizon and ELEMENT OF -error bound in the performance cost.
Proceedings of the International Joint Conference on Neural Networks, 2009

A novel control scheme for a class of nonlinear systems with time delays based on fuzzy hyperbolic model.
Proceedings of the FUZZ-IEEE 2009, 2009

A novel LMI approach to global impulsive exponential synchronization of chaotic delayed neural networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Parameter approximate dynamic optimization for PSO systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Neural-network-based reinforcement learning controller for nonlinear systems with non-symmetric dead-zone inputs.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

Constrained optimal control of affine nonlinear discrete-time systems using GHJB method.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
Delay-Dependent Guaranteed Cost Control for Uncertain Stochastic Fuzzy Systems With Multiple Time Delays.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Guest Editorial: Special Issue on Adaptive Dynamic Programming and Reinforcement Learning in Feedback Control.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Robust Stability Analysis for Interval Cohen-Grossberg Neural Networks With Unknown Time-Varying Delays.
IEEE Trans. Neural Networks, 2008

Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays.
IEEE Trans. Neural Networks, 2008

A Neural Network Method for Detection of Obstructive Sleep Apnea and Narcolepsy Based on Pupil Size and EEG.
IEEE Trans. Neural Networks, 2008

Wavelet Basis Function Neural Networks for Sequential Learning.
IEEE Trans. Neural Networks, 2008

A Monte Carlo Particle Model Associated with Neural Networks for Tracking Problem.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Neurodynamic programming: a case study of the traveling salesman problem.
Neural Comput. Appl., 2008

Neural networks: Algorithms and applications.
Neurocomputing, 2008

Adaptive Dynamic Programming for a Class of Nonlinear Control Systems with General Separable Performance Index.
Proceedings of the Advances in Neural Networks, 2008

ADHDP for the pH Value Control in the Clarifying Process of Sugar Cane Juice.
Proceedings of the Advances in Neural Networks, 2008

e-Adaptive Dynamic Programming for discrete-time systems.
Proceedings of the International Joint Conference on Neural Networks, 2008

The consensus protocol for multi-agent systems based on the algebraic connectivity.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Dual Heuristic Programming Based Neurocontroller for Vibration Isolation Control.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Epileptic Seizures Predicted by Modified Particle Filters.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Discrete-Time ε-Adaptive Dynamic Programming Algorithm Using Neural Networks.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

Multi-Agent Based Adaptive Consensus Control for Multiple Manipulators with Kinematic Uncertainties.
Proceedings of the 2008 IEEE International Symposium on Intelligent Control, 2008

2007
Neural Networks.
Proceedings of the Handbook of Approximation Algorithms and Metaheuristics., 2007

Guest Editorial: Networking, Sensing, and Control for Networked Control Systems: Architectures, Algorithms, and Applications.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Fuzzy H<sub>∞</sub> Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays.
IEEE Trans. Fuzzy Syst., 2007

Robust Exponential Stability of Recurrent Neural Networks With Multiple Time-Varying Delays.
IEEE Trans. Circuits Syst. II Express Briefs, 2007

A multipath interference cancellation technique for WCDMA downlink receivers.
Int. J. Commun. Syst., 2007

Two approximation methods to synthesize the power spectrum of fractional Gaussian noise.
Comput. Stat. Data Anal., 2007

Extended Lie Algebraic Stability Analysis for Switched Systems with Continuous-Time and Discrete-Time Subsystems.
Int. J. Appl. Math. Comput. Sci., 2007

On-Line Learning Control for Discrete Nonlinear Systems Via an Improved ADDHP Method.
Proceedings of the Advances in Neural Networks, 2007

Classification of Obstructive Sleep Apnea by Neural Networks.
Proceedings of the Advances in Neural Networks, 2007

A Brief Overview of the Complex Biological and Engineering Networks.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Global Asymptotic Stability of Recurrent Neural Networks with Time Varying Delays.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Neural Network Strategy for Sampling of Particle Filters on the Tracking Problem.
Proceedings of the International Joint Conference on Neural Networks, 2007

Temperature Control in Precalcinator with Dual Heuristic Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2007

Wavelet Basis Function Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

Clustering with a Weighted Sum Validity Function Using a Niching PSO Algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006
Advances in Computational Intelligence - Theory and Applications
Series in Intelligent Control and Intelligent Automation 5, WorldScientific, ISBN: 978-981-4478-28-1, 2006

Motif discoveries in unaligned molecular sequences using self-organizing neural networks.
IEEE Trans. Neural Networks, 2006

Lie algebraic stability analysis for switched systems with continuous-time and discrete-time subsystems.
IEEE Trans. Circuits Syst. II Express Briefs, 2006

Simultaneous Blind Separation of Instantaneous Mixtures With Arbitrary Rank.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006

A New Fuzzy Identification Method Based on Adaptive Critic Designs.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Global exponential stability of generalized neural networks with time-varying delays.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Sequential blind extraction of instantaneous mixtures with arbitrary rank.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Automotive Engine Torque and Air-Fuel Ratio Control Using Dual Heuristic Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2006

Decentralized H-infinity Control of Fuzzy Large-scale Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Multiuser detection using the Taguchi method for DS-CDMA systems.
IEEE Trans. Wirel. Commun., 2005

A self-learning call admission control scheme for CDMA cellular networks.
IEEE Trans. Neural Networks, 2005

Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks.
Neural Networks, 2005

On the global output convergence of a class of recurrent neural networks with time-varying inputs.
Neural Networks, 2005

Chaotifying Fuzzy Hyperbolic Model Using impulsive and Nonlinear Feedback Control Approaches.
Int. J. Bifurc. Chaos, 2005

Exponential Stability Analysis of Neural Networks with Multiple Time Delays.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Stability analysis for switched systems with continuous-time and discrete-time subsystems: a Lie algebraic approach.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Chaotification of nonlinear systems described by the fuzzy hyperbolic model.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Gradient-based methods for simultaneous blind separation of mixed source signals.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Robust Adaptive Fuzzy Output Control for Nonlinear Uncertain Systems.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

An Orthogonal Array Optimization for the Economic Dispatch with Nonsmooth Cost Functions.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Fuzzy H-Infinity Filtering of Discrete-Time Nonlinear Systems with Multiple Time Delays.
Proceedings of the Intelligent Control, 2005

2004
Call Admission Policies Based on Calculated Power Control Setpoints in SIR-Based Power-Controlled DS-CDMA Cellular Networks.
Wirel. Networks, 2004

Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds.
IEEE Trans. Circuits Syst. II Express Briefs, 2004

Two new operators in rough set theory with applications to fuzzy sets.
Inf. Sci., 2004

Chaotifying Fuzzy Hyperbolic Model Using Adaptive Inverse Optimal Control Approach.
Int. J. Bifurc. Chaos, 2004

A novel modulation and demodulation technique for the downlink of spread spectrum multipath channels.
IEEE Commun. Lett., 2004

Sequential blind extraction of mixed source signals with guaranteed convergence.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

A generalized fuzzy hyperbolic modeling and control scheme.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Roughness of fuzzy sets based on two new operators.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Applications of fuzzy decision-making in pipeline leak localization.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Anticontrol of the fuzzy hyperbolic model.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Fuzzy hyperbolic H<sub>∞</sub> filter design for a class of nonlinear continuous-time dynamic systems.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Adaptive critic learning techniques for automotive engine control.
Proceedings of the 2004 American Control Conference, 2004

Neural network modeling and adaptive critic control of automotive fuel-injection systems.
Proceedings of the Intelligent Control, 2004

2003
Fuzzy control: K. M. Passino and S. Yurkovich; 1998 Addison Wesley Longman, Inc., ISBN 0-201-18074-X.
Autom., 2003

Output convergence analysis of continuous-time recurrent neural networks.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

A self-learning adaptive critic approach for call admission control in wireless cellular networks.
Proceedings of IEEE International Conference on Communications, 2003

2002
N-bit parity neural networks: new solutions based on linear programming.
Neurocomputing, 2002

Criteria for robust absolute stability of time-varying nonlinear continuous-time systems.
Autom., 2002

Criteria for asymptotic stability of a class of discrete systems with multiple independent variables.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Call admission control algorithms for DS-CDMA cellular networks supporting multimedia services.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

2001
Nested auto-regressive processes for MPEG-encoded video traffic modeling.
IEEE Trans. Circuits Syst. Video Technol., 2001

Robust stability of a class of nonlinear time-varying discrete systems.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

A heuristic approach for measurement-based admission control with variable-size window.
Proceedings of the Global Telecommunications Conference, 2001

Necessary and sufficient conditions for robust absolute stability of time-varying nonlinear continuous-time systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Applications of robust stability results to the analysis of multidimensional discrete-time systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Neural network-based model reference adaptive control system.
IEEE Trans. Syst. Man Cybern. Part B, 2000

Synthesis approach for bidirectional associative memories based on the perceptron training algorithm.
Neurocomputing, 2000

Synthesis of fractional gaussian noise using linear approximation for generating self-similar network traffic.
Comput. Commun. Rev., 2000

A new traffic model for MPEG encoded videos in ATM networks.
Proceedings of the Proceedings Ninth International Conference on Computer Communications and Networks, 2000

1999
Solving the N-bit parity problem using neural networks.
Neural Networks, 1999

Design of bidirectional associative memories based on the perceptron training technique.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

1997
A new synthesis approach for feedback neural networks based on the perceptron training algorithm.
IEEE Trans. Neural Networks, 1997

Associative memory design via perceptron learning.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Correction to "Necessary and Sufficient Conditions for the Hurwitz and Schur Stability of Interval M.
IEEE Trans. Autom. Control., 1996

Robustness analysis and design of a class of neural networks with sparse interconnecting structure.
Neurocomputing, 1996

1995
Qualitative Limitations Incurred in the Implementation Process of Artificial Feedback Neural Networks.
Proceedings of the EUROSIM'96, 1995

1994
Necessary and sufficient conditions for the Hurwitz and Schur stability of interval matrices.
IEEE Trans. Autom. Control., 1994

1993
Sparsely Interconnected Artificial Neural Networks for Associative Memories.
Proceedings of the New Trends in Neural Computation, 1993


  Loading...