Value iteration based integral reinforcement learning approach for H∞ controller design of continuous-time nonlinear systems

Neurocomputing ◽

10.1016/j.neucom.2018.01.029 ◽

2018 ◽

Vol 285 ◽

pp. 51-59 ◽

Author(s):

Geyang Xiao ◽

Huaguang Zhang ◽

Kun Zhang ◽

Yinlei Wen

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Controller Design ◽

Learning Approach ◽

Value Iteration

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Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3045087 ◽

2021 ◽

pp. 1-10

Author(s):

Tao Bian ◽

Zhong-Ping Jiang

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Value Iteration ◽

Adaptive Optimal Control ◽

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General value iteration based single network approach for constrained optimal controller design of partially-unknown continuous-time nonlinear systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.02.001 ◽

2018 ◽

Vol 355 (5) ◽

pp. 2610-2630 ◽

Author(s):

Geyang Xiao ◽

Huaguang Zhang ◽

Qiuxia Qu ◽

He Jiang

Keyword(s):

Nonlinear Systems ◽

Continuous Time ◽

Controller Design ◽

Optimal Controller ◽

Value Iteration ◽

Network Approach

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General value iteration based reinforcement learning for solving optimal tracking control problem of continuous–time affine nonlinear systems

Neurocomputing ◽

10.1016/j.neucom.2017.03.038 ◽

2017 ◽

Vol 245 ◽

pp. 114-123 ◽

Author(s):

Geyang Xiao ◽

Huaguang Zhang ◽

Yanhong Luo ◽

Qiuxia Qu

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Control Problem ◽

Continuous Time ◽

Tracking Control ◽

Value Iteration ◽

Optimal Tracking ◽

Optimal Tracking Control ◽

Affine Nonlinear Systems

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Value Iteration-Based H∞ Controller Design for Continuous-Time Nonlinear Systems Subject to Input Constraints

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2018.2853091 ◽

2020 ◽

Vol 50 (11) ◽

pp. 3986-3995

Author(s):

Huaguang Zhang ◽

Geyang Xiao ◽

Yang Liu ◽

Lei Liu

Keyword(s):

Nonlinear Systems ◽

Continuous Time ◽

Controller Design ◽

Value Iteration ◽

Input Constraints

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Online reinforcement learning for a class of partially unknown continuous-time nonlinear systems via value iteration

Optimal Control Applications and Methods ◽

10.1002/oca.2391 ◽

2017 ◽

Vol 39 (2) ◽

pp. 1011-1028 ◽

Author(s):

Hanguang Su ◽

Huaguang Zhang ◽

Kun Zhang ◽

Wenzhong Gao

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Value Iteration

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Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2015.2417170 ◽

2015 ◽

Vol 45 (7) ◽

pp. 1372-1385 ◽

Author(s):

Derong Liu ◽

Xiong Yang ◽

Ding Wang ◽

Qinglai Wei

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Controller Design ◽

Uncertain Nonlinear Systems ◽

Input Constraints ◽

Robust Controller ◽

Robust Controller Design

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Reinforcement-Learning-Based Controller Design for Nonaffine Nonlinear Systems

Advances in Neural Networks – ISNN 2014 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-12436-0_7 ◽

2014 ◽

pp. 51-58

Author(s):

Xiong Yang ◽

Derong Liu ◽

Qinglai Wei

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Controller Design ◽

Nonaffine Nonlinear Systems

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Finite-horizon optimal control for continuous-time uncertain nonlinear systems using reinforcement learning

International Journal of Systems Science ◽

10.1080/00207721.2020.1797223 ◽

2020 ◽

Vol 51 (13) ◽

pp. 2429-2440

Author(s):

Jingang Zhao ◽

Minggang Gan

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Finite Horizon ◽

Uncertain Nonlinear Systems

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Event-Triggered Reinforcement Learning-Based Adaptive Tracking Control for Completely Unknown Continuous-Time Nonlinear Systems

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2903108 ◽

2020 ◽

Vol 50 (7) ◽

pp. 3231-3242 ◽

Author(s):

Xinxin Guo ◽

Weisheng Yan ◽

Rongxin Cui

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Tracking Control ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Event Triggered

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Continuous-time reinforcement learning approach for portfolio management with time penalization

Expert Systems with Applications ◽

10.1016/j.eswa.2019.03.055 ◽

2019 ◽

Vol 129 ◽

pp. 27-36 ◽

Author(s):

Mauricio García-Galicia ◽

Alin A. Carsteanu ◽

Julio B. Clempner

Keyword(s):

Reinforcement Learning ◽

Portfolio Management ◽

Continuous Time ◽

Learning Approach

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