Optimal tracking control for non‐zero‐sum games of linear discrete‐time systems via off‐policy reinforcement learning
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Huaguang Zhang | Yinlei Wen | Hanguang Su | He Ren | Huaguang Zhang | Hanguang Su | He Ren | Yinlei Wen
[1] Huaguang Zhang,et al. Online optimal control of unknown discrete-time nonlinear systems by using time-based adaptive dynamic programming , 2015, Neurocomputing.
[2] Derong Liu,et al. Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm , 2014, Neurocomputing.
[3] Frank L. Lewis,et al. Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem , 2010, Autom..
[4] Qinglai Wei,et al. A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information , 2019, ISNN.
[5] Frank L. Lewis,et al. Optimal Control: Lewis/Optimal Control 3e , 2012 .
[6] Kun Zhang,et al. Value iteration based integral reinforcement learning approach for H∞ controller design of continuous-time nonlinear systems , 2018, Neurocomputing.
[7] Qian Li,et al. Output feedback preview tracking control for time‐varying polytopic descriptor systems , 2019, Optimal control applications & methods.
[8] A. Weeren,et al. The discrete-time Riccati equation related to the H∞ control problem , 1994, IEEE Trans. Autom. Control..
[9] Frank L. Lewis,et al. Multi-player non-zero-sum games: Online adaptive learning solution of coupled Hamilton-Jacobi equations , 2011, Autom..
[10] Tingwen Huang,et al. Model-Free Optimal Tracking Control via Critic-Only Q-Learning , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[11] Frank L. Lewis,et al. H∞ control of linear discrete-time systems: Off-policy reinforcement learning , 2017, Autom..
[12] Derong Liu,et al. Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics , 2014, IEEE Transactions on Automation Science and Engineering.
[13] Yanhong Luo,et al. Data-driven optimal tracking control for a class of affine non-linear continuous-time systems with completely unknown dynamics , 2016 .
[14] Q. Wei,et al. Data-based Optimal Control for Discrete-time Zero-sum Games of 2-D Systems Using Adaptive Critic Designs , 2009 .
[15] Frank L. Lewis,et al. Model-free Q-learning designs for linear discrete-time zero-sum games with application to H-infinity control , 2007, Autom..
[16] Jing Na,et al. Online optimal solutions for multi-player nonzero-sum game with completely unknown dynamics , 2017, Neurocomputing.
[17] Kun Zhang,et al. Iterative adaptive dynamic programming methods with neural network implementation for multi-player zero-sum games , 2018, Neurocomputing.
[18] Qiuye Sun,et al. Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy , 2020, Neurocomputing.
[19] Zhong-Ping Jiang,et al. Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics , 2012, Autom..
[20] Huaguang Zhang,et al. An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games , 2011, Autom..
[21] F. Udwadia. Optimal tracking control of nonlinear dynamical systems , 2008, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[22] Frank L. Lewis,et al. Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics , 2014, Autom..
[23] Huaguang Zhang,et al. Adaptive Dynamic Programming: An Introduction , 2009, IEEE Computational Intelligence Magazine.
[24] Kun Zhang,et al. Tracking control optimization scheme of continuous-time nonlinear system via online single network adaptive critic design method , 2017, Neurocomputing.
[25] Derong Liu,et al. Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[26] Qichao Zhang,et al. Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics , 2016, IEEE Transactions on Cybernetics.
[27] Chaomin Luo,et al. Discrete-Time Nonzero-Sum Games for Multiplayer Using Policy-Iteration-Based Adaptive Dynamic Programming Algorithms , 2017, IEEE Transactions on Cybernetics.
[28] Xin Zhang,et al. Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method , 2011, IEEE Transactions on Neural Networks.
[29] Frank L. Lewis,et al. Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[30] Frank L. Lewis,et al. Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[31] Huaguang Zhang,et al. Near-Optimal Control for Nonzero-Sum Differential Games of Continuous-Time Nonlinear Systems Using Single-Network ADP , 2013, IEEE Transactions on Cybernetics.
[32] Derong Liu,et al. Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm , 2013, Neurocomputing.
[33] Frank L. Lewis,et al. A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems , 2013, Autom..
[34] Qinglai Wei,et al. Continuous-Time Time-Varying Policy Iteration , 2020, IEEE Transactions on Cybernetics.
[35] F.L. Lewis,et al. Reinforcement learning and adaptive dynamic programming for feedback control , 2009, IEEE Circuits and Systems Magazine.
[36] Tingwen Huang,et al. Data-Driven $H_\infty$ Control for Nonlinear Distributed Parameter Systems , 2015, IEEE Transactions on Neural Networks and Learning Systems.