Ding Wang
Orcid: 0000-0002-7149-5712Affiliations:
- Beijing University of Technology, Faculty of Information Technology, China
- Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China (PhD 2012)
According to our database1,
Ding Wang
authored at least 170 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Asymmetric Constrained Optimal Tracking Control With Critic Learning of Nonlinear Multiplayer Zero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Action-Dependent Heuristic Dynamic Programming With Experience Replay for Wastewater Treatment Processes.
IEEE Trans. Ind. Informatics, April, 2024
Iterative Q-Learning for Model-Free Optimal Control With Adjustable Convergence Rate.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
Cooperative ETM-Based Adaptive Neural Network Tracking Control for Nonlinear Pure-Feedback MASs: A Special-Shaped Laplacian Matrix Method.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Model-free intelligent critic design with error analysis for neural tracking control.
Neurocomputing, March, 2024
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Adaptive Critic Control Design With Knowledge Transfer for Wastewater Treatment Applications.
IEEE Trans. Ind. Informatics, February, 2024
Decentralized Optimal Neurocontroller Design for Mismatched Interconnected Systems via Integral Policy Iteration.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
Event-triggered-based online integral reinforcement learning for optimal control of unknown constrained nonlinear systems.
Int. J. Control, February, 2024
Intelligent Optimal Control of Constrained Nonlinear Systems via Receding-Horizon Heuristic Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Decentralized Event-Triggered Asymmetric Constrained Control Through Adaptive Critic Designs for Nonlinear Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications.
IEEE CAA J. Autom. Sinica, January, 2024
2023
Novel Discounted Optimal Tracking Design Under Offline and Online Formulations for Asymmetric Constrained Systems.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks.
IEEE Trans. Cybern., October, 2023
Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games.
Neural Networks, October, 2023
Artif. Intell. Rev., October, 2023
System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control.
IEEE CAA J. Autom. Sinica, September, 2023
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Inf. Sci., May, 2023
Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023
Decentralised tracking control based on critic learning for nonlinear disturbed interconnected systems.
Int. J. Syst. Sci., April, 2023
Dual Event-Triggered Constrained Control Through Adaptive Critic for Discrete-Time Zero-Sum Games.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Off-Policy Model-Free Learning for Multi-Player Non-Zero-Sum Games With Constrained Inputs.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2023
An event-triggered neural critic technique for nonzero-sum game design with control constraints.
Int. J. Syst. Sci., January, 2023
Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games.
IEEE Trans. Cybern., 2023
Event-triggered constrained neural critic control of nonlinear continuous-time multiplayer nonzero-sum games.
Inf. Sci., 2023
Event-based online learning control design with eligibility trace for discrete-time unknown nonlinear systems.
Eng. Appl. Artif. Intell., 2023
Data-driven tracking control design with reinforcement learning involving a wastewater treatment application.
Eng. Appl. Artif. Intell., 2023
2022
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot.
IEEE Trans. Neural Networks Learn. Syst., 2022
Adaptive Optimal Control for Unknown Constrained Nonlinear Systems With a Novel Quasi-Model Network.
IEEE Trans. Neural Networks Learn. Syst., 2022
Policy Gradient Adaptive Critic Design With Dynamic Prioritized Experience Replay for Wastewater Treatment Process Control.
IEEE Trans. Ind. Informatics, 2022
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Cybern., 2022
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics.
IEEE Trans. Cybern., 2022
Offline and Online Adaptive Critic Control Designs With Stability Guarantee Through Value Iteration.
IEEE Trans. Cybern., 2022
Online Value Iteration for Intelligent Discounted Tracking Design of Constrained Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Novel optimal trajectory tracking for nonlinear affine systems with an advanced critic learning structure.
Neural Networks, 2022
Neural critic learning for tracking control design of constrained nonlinear multi-person zero-sum games.
Neurocomputing, 2022
Adaptive Decentralized Asymptotic Tracking Control for Large-Scale Nonlinear Systems With Unknown Strong Interconnections.
IEEE CAA J. Autom. Sinica, 2022
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control.
IEEE CAA J. Autom. Sinica, 2022
Artif. Intell. Rev., 2022
2021
Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant.
IEEE Trans. Ind. Electron., 2021
Syst. Control. Lett., 2021
Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application.
Neural Networks, 2021
Neural-network-based discounted optimal control via an integrated value iteration with accuracy guarantee.
Neural Networks, 2021
A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies.
Inf. Sci., 2021
Adaptive neural tracking control of high-order nonlinear systems with quantized input.
Neurocomputing, 2021
Adaptive-critic-based hybrid intelligent optimal tracking for a class of nonlinear discrete-time systems.
Eng. Appl. Artif. Intell., 2021
Event-Triggered Intelligent Critic Design for Constrained Nonaffine Nonzero-Sum Games.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021
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
Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020
Robust Policy Learning Control of Nonlinear Plants With Case Studies for a Power System Application.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Cybern., 2020
Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation.
IEEE Trans. Autom. Control., 2020
Neural Networks, 2020
Event-triggered constrained control with DHP implementation for nonaffine discrete-time systems.
Inf. Sci., 2020
Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances.
Neurocomputing, 2020
Data-based composite control design with critic intelligence for a wastewater treatment platform.
Artif. Intell. Rev., 2020
2019
A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Control-Limited Adaptive Dynamic Programming for Multi-Battery Energy Storage Systems.
IEEE Trans. Smart Grid, 2019
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method.
IEEE Trans. Neural Networks Learn. Syst., 2019
Approximate neural optimal control with reinforcement learning for a torsional pendulum device.
Neural Networks, 2019
2018
Decentralized Control for Large-Scale Nonlinear Systems With Unknown Mismatched Interconnections via Policy Iteration.
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
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
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
Adaptive Neural Output-Feedback Control for a Class of Nonlower Triangular Nonlinear Systems With Unmodeled Dynamics.
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
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-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Cybern., 2018
Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach.
IEEE Trans. Cybern., 2018
Decentralized adaptive optimal stabilization of nonlinear systems with matched interconnections.
Soft Comput., 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 preserved nonlinear time-delayed multiagent systems using neural networks and event-based mechanism.
Neural Comput. Appl., 2018
Connectivity preservation of second-order nonlinear multiagent systems with hybrid event-driven and time-driven control.
Int. J. Syst. Sci., 2018
Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming.
Proceedings of the Neural Information Processing - 25th International Conference, 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
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
Improving the Critic Learning for Event-Based Nonlinear H<sub>∞</sub> Control Design.
IEEE Trans. Cybern., 2017
IEEE Trans. Cybern., 2017
A novel neural optimal control framework with nonlinear dynamics: Closed-loop stability and simulation verification.
Neurocomputing, 2017
Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties.
Neurocomputing, 2017
Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation.
Neurocomputing, 2017
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming.
Neurocomputing, 2017
Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism.
Sci. China Inf. Sci., 2017
Novel iterative neural dynamic programming for data-based approximate optimal control design.
Autom., 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Adaptation-Oriented Near-Optimal Control and Robust Synthesis of an Overhead Crane System.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
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
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2016
A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization.
Soft Comput., 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
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
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
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Cognitive Systems and Signal Processing, 2016
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
Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems.
IEEE Trans. Neural Networks Learn. Syst., 2015
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints.
IEEE Trans. Cybern., 2015
IEEE Trans Autom. Sci. Eng., 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
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
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
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
Online Synchronous Approximate Optimal Learning Algorithm for Multi-Player Non-Zero-Sum Games With Unknown Dynamics.
IEEE Trans. Syst. Man Cybern. 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
Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems.
IEEE Trans. Cybern., 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
Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming.
Inf. Sci., 2014
Neurocomputing, 2014
Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints.
Int. J. Control, 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
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014
2013
Dual iterative adaptive dynamic programming for a class of discrete-time nonlinear systems with time-delays.
Neural Comput. Appl., 2013
A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints.
Neural Comput. Appl., 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
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
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 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
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
Proceedings of the Advances in Neural Networks - ISNN 2012, 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
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
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
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