Qinglai Wei

Orcid: 0000-0001-7002-9800

According to our database1, Qinglai Wei authored at least 179 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Online Adaptive Dynamic Programming for Optimal Self-Learning Control of VTOL Aircraft Systems With Disturbances.
IEEE Trans Autom. Sci. Eng., January, 2024

Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2024

2023
Synergetic learning for unknown nonlinear H∞ control using neural networks.
Neural Networks, November, 2023

Continuous-Time Stochastic Policy Iteration of Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Approximate Dynamic Programming for Event-Driven H<sub>∞</sub> Constrained Control.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Adaptive Dynamic Programming for Nonlinear-Constrained H<sub>∞</sub> Control.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy.
IEEE Trans. Ind. Informatics, July, 2023

Raven solver: From perception to reasoning.
Inf. Sci., July, 2023

A Novel Parallel Control Method for Continuous-Time Linear Output Regulation With Disturbances.
IEEE Trans. Cybern., June, 2023

Event-triggered near-optimal tracking control based on adaptive dynamic programming for discrete-time systems.
Neurocomputing, June, 2023

A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving.
IEEE Trans. Intell. Veh., April, 2023

Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control.
IEEE Trans. Cybern., March, 2023

2022
Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Discrete-Time Self-Learning Parallel Control.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs.
IEEE Trans. Neural Networks Learn. Syst., 2022

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

Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System.
IEEE Trans. Ind. Informatics, 2022

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

Parallel cognition: hybrid intelligence for human-machine interaction and management.
Frontiers Inf. Technol. Electron. Eng., 2022

Institutionalized and systematized gaming for multi-agent systems.
Frontiers Inf. Technol. Electron. Eng., 2022

Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game.
Frontiers Inf. Technol. Electron. Eng., 2022

Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control.
Inf. Sci., 2022

A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems.
Neurocomputing, 2022

Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems.
Neurocomputing, 2022

Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems.
Expert Syst. Appl., 2022

Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability.
CoRR, 2022

EiHi Net: Out-of-Distribution Generalization Paradigm.
CoRR, 2022

Adaptive Event-Triggered Near-Optimal Tracking Control for Unknown Continuous-Time Nonlinear Systems.
IEEE Access, 2022

Event-Triggered Energy Optimization of Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

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

Adaptive Critic Learning for Constrained Optimal Event-Triggered Control With Discounted Cost.
IEEE Trans. Neural Networks Learn. Syst., 2021

Adaptive Critic Designs for Optimal Event-Driven Control of a CSTR System.
IEEE Trans. Ind. Informatics, 2021

Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management.
IEEE Trans. Ind. Informatics, 2021

Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2021

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

Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems.
IEEE Trans. Cybern., 2021

Discrete-Time Non-Zero-Sum Games With Completely Unknown Dynamics.
IEEE Trans. Cybern., 2021

A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method.
J. Frankl. Inst., 2021

A partial policy iteration ADP algorithm for nonlinear neuro-optimal control with discounted total reward.
Neurocomputing, 2021

Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances.
IEEE CAA J. Autom. Sinica, 2021

Spiking Adaptive Dynamic Programming with Poisson Process.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Optimal Tracking Control of the Boiler-turbine System Based on Adaptive Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2021

Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System.
Proceedings of the International Joint Conference on Neural Networks, 2021

Backstepping-Based Parallel Control for Cascaded Nonlinear Systems.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

Cyber-Physical -Social Systems for Smart Cities: An Overview.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

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

Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Discrete-Time Impulsive Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2020

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

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

Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy.
Neurocomputing, 2020

Deep learning neural networks: Methods, systems, and applications.
Neurocomputing, 2020

Gain scheduling consensus of multi-agent systems subject to actuator saturation.
Int. J. Control, 2020

Parallel control for continuous-time linear systems: A case study.
IEEE CAA J. Autom. Sinica, 2020

Parallel control for optimal tracking via adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2020

2019
Editorial: Booming of Neural Networks and Learning Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

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

Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information.
Proceedings of the Advances in Neural Networks - ISNN 2019, 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

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

Discrete-Time Stable Generalized Self-Learning Optimal Control With Approximation Errors.
IEEE Trans. Neural Networks Learn. Syst., 2018

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

Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties.
Inf. Sci., 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

Adaptive Critic Designs of Optimal Control for Ice Storage Air Conditioning Systems.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

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

Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., 2017

Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy.
IEEE Trans. Ind. Electron., 2017

Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management.
IEEE Trans. Ind. Electron., 2017

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

Discrete-Time Deterministic Q-Learning: A Novel Convergence Analysis.
IEEE Trans. Cybern., 2017

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

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

Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration.
Neural Comput. Appl., 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

Neural-network-based synchronous iteration learning method for multi-player zero-sum games.
Neurocomputing, 2017

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

PDP: parallel dynamic programming.
IEEE CAA J. Autom. Sinica, 2017

Discrete-time generalized policy iteration ADP algorithm with approximation errors.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A reinforcement learning approach for sequential decision-making process of attacks in smart grid.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Distributed control of leader-follower systems under adversarial inputs using reinforcement learning.
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

A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 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

Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor Industry.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

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

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

Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP.
IEEE Trans. Neural Networks Learn. Syst., 2016

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

Off-Policy Actor-Critic Structure for Optimal Control of Unknown Systems With Disturbances.
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

ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks.
Neural Comput. Appl., 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

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

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

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

Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data.
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

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

Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm.
Neurocomputing, 2015

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

Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming.
Neurocomputing, 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

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

2014
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems.
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

Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming.
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

Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems.
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

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

Special issue on International Symposium on Neural Networks.
Neurocomputing, 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

Neural-network-based optimal control for a class of complex-valued nonlinear systems with input saturation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 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
Optimal Home Energy Management Under Dynamic Electrical and Thermal Constraints.
IEEE Trans. Ind. Informatics, 2013

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

Multi-objective optimal control for a class of nonlinear time-delay systems via adaptive dynamic programming.
Soft Comput., 2013

Dual iterative adaptive dynamic programming for a class of discrete-time nonlinear systems with time-delays.
Neural Comput. Appl., 2013

The neural paradigm for complex systems: new algorithms and applications.
Neural Comput. Appl., 2013

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

Neuro-control to Energy Minimization for a Class of Chaotic Systems Based on ADP Algorithm.
Proceedings of the Intelligence Science and Big Data Engineering, 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

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

Optimal Tracking Control for a Class of Nonlinear Time-Delay Systems with Actuator Saturation.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2013

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

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

Optimal Task and Energy Scheduling in Dynamic Residential Scenarios.
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

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
Optimal Tracking Control for a Class of Nonlinear Discrete-Time Systems With Time Delays Based on Heuristic Dynamic Programming.
IEEE Trans. Neural Networks, 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 discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Optimal control laws for time-delay systems with saturating actuators based on heuristic dynamic programming.
Neurocomputing, 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

2009
Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions.
Neurocomputing, 2009

Robust adaptive tracking controller design for non-affine non-linear systems with state time-varying delay and unknown dead-zone.
Int. J. Intell. Syst. Technol. Appl., 2009

2008
A Novel Infinite-Time Optimal Tracking Control Scheme for a Class of Discrete-Time Nonlinear Systems via the Greedy HDP Iteration Algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2008

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

A New Approach to Solve a Class of Continuous-Time Nonlinear Quadratic Zero-Sum Game Using ADP.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

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


  Loading...