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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Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints

International Journal of Control ◽

10.1080/00207179.2013.848292 ◽

2013 ◽

Vol 87 (3) ◽

pp. 553-566 ◽

Author(s):

Xiong Yang ◽

Derong Liu ◽

Ding Wang

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Input Constraints ◽

Adaptive Optimal Control

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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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Adaptive optimal control for a class of continuous-time affine nonlinear systems with unknown internal dynamics

Neural Computing and Applications ◽

10.1007/s00521-012-1249-y ◽

2012 ◽

Vol 23 (7-8) ◽

pp. 1843-1850 ◽

Author(s):

Derong Liu ◽

Xiong Yang ◽

Hongliang Li

Keyword(s):

Optimal Control ◽

Nonlinear Systems ◽

Continuous Time ◽

Internal Dynamics ◽

Adaptive Optimal Control ◽

Affine Nonlinear Systems

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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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Adaptive optimal control algorithm for continuous-time nonlinear systems based on policy iteration

2008 47th IEEE Conference on Decision and Control ◽

10.1109/cdc.2008.4738955 ◽

2008 ◽

Author(s):

D. Vrabie ◽

F.L. Lewis

Keyword(s):

Optimal Control ◽

Nonlinear Systems ◽

Continuous Time ◽

Control Algorithm ◽

Policy Iteration ◽

Adaptive Optimal Control

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Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems

10.1016/j.automatica.2013.09.043 ◽

2014 ◽

Vol 50 (1) ◽

pp. 193-202 ◽

Author(s):

Hamidreza Modares ◽

Frank L. Lewis ◽

Mohammad-Bagher Naghibi-Sistani

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Continuous Time ◽

Adaptive Optimal Control ◽

Continuous Time Systems ◽

Experience Replay ◽

Time Systems ◽

Constrained Input

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Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics

International Journal of Control ◽

10.1080/00207179.2015.1060362 ◽

2015 ◽

Vol 89 (1) ◽

pp. 99-112 ◽

Author(s):

Yongfeng Lv ◽

Jing Na ◽

Qinmin Yang ◽

Xing Wu ◽

Yu Guo

Keyword(s):

Optimal Control ◽

Nonlinear Systems ◽

Continuous Time ◽

Adaptive Optimal Control

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Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems

10.1016/j.automatica.2020.109035 ◽

2020 ◽

Vol 118 ◽

pp. 109035

Author(s):

Bo Pang ◽

Zhong-Ping Jiang ◽

Iven Mareels

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Continuous Time ◽

Periodic Systems ◽

Adaptive Optimal Control ◽

Linear Periodic Systems ◽

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Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems

Neural Networks ◽

10.1016/j.neunet.2009.03.008 ◽

2009 ◽

Vol 22 (3) ◽

pp. 237-246 ◽

Author(s):

Draguna Vrabie ◽

Frank Lewis

Keyword(s):

Neural Network ◽

Optimal Control ◽

Nonlinear Systems ◽

Continuous Time ◽

Network Approach ◽

Neural Network Approach ◽

Adaptive Optimal Control

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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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