Two‐loop reinforcement learning algorithm for finite‐horizon optimal control of continuous‐time affine nonlinear systems

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5826 ◽

2021 ◽

Author(s):

Zhe Chen ◽

Wenqian Xue ◽

Ning Li ◽

Frank L. Lewis

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Learning Algorithm ◽

Finite Horizon ◽

Affine Nonlinear Systems ◽

Reinforcement Learning Algorithm

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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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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 ◽

A Value

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Approximate Finite-Horizon Optimal Control for Input-Affine Nonlinear Systems with Input Constraints

IFAC Proceedings Volumes ◽

10.3182/20130904-3-fr-2041.00037 ◽

2013 ◽

Vol 46 (23) ◽

pp. 199-204

Author(s):

G. Scarciotti ◽

A. Astolfi

Keyword(s):

Optimal Control ◽

Nonlinear Systems ◽

Finite Horizon ◽

Input Constraints ◽

Affine Nonlinear Systems

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Generalized Policy Iteration-based Reinforcement Learning Algorithm for Optimal Control of Unknown Discrete-time Systems

10.1109/ccdc52312.2021.9601467 ◽

2021 ◽

Author(s):

Mingduo Lin ◽

Bo Zhao ◽

Derong Liu ◽

Xi Liu ◽

Fangchao Luo

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Discrete Time ◽

Learning Algorithm ◽

Policy Iteration ◽

Discrete Time Systems ◽

Time Systems ◽

Reinforcement Learning Algorithm

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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 ◽

Cited By ~ 49

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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Finite-horizon optimal control for affine nonlinear systems with dead-zone control input

2013 Chinese Automation Congress ◽

10.1109/cac.2013.6775818 ◽

2013 ◽

Author(s):

Xiaofeng Lin ◽

Qiang Ding

Keyword(s):

Optimal Control ◽

Nonlinear Systems ◽

Dead Zone ◽

Finite Horizon ◽

Control Input ◽

Zone Control ◽

Affine Nonlinear Systems

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Event-Driven Guaranteed Cost Control Design for Nonlinear Systems With Actuator Faults via Reinforcement Learning Algorithm

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2019.2946857 ◽

2020 ◽

Vol 50 (11) ◽

pp. 4135-4150 ◽

Cited By ~ 5

Author(s):

Huaguang Zhang ◽

Yuling Liang ◽

Hanguang Su ◽

Chong Liu

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Cost Control ◽

Learning Algorithm ◽

Control Design ◽

Guaranteed Cost Control ◽

Actuator Faults ◽

Guaranteed Cost ◽

Event Driven ◽

Reinforcement Learning Algorithm

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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 ◽

Cited By ~ 7

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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Approximate finite-horizon optimal control for input-affine nonlinear systems with input constraints

Journal of Control and Decision ◽

10.1080/23307706.2014.899110 ◽

2014 ◽

Vol 1 (2) ◽

pp. 149-165 ◽

Cited By ~ 16

Author(s):

G. Scarciotti ◽

A. Astolfi

Keyword(s):

Optimal Control ◽

Nonlinear Systems ◽

Finite Horizon ◽

Input Constraints ◽

Affine Nonlinear Systems

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Event-based Integral Reinforcement Learning Algorithm for Non-zero-sum Games of Partially Unknown Nonlinear Systems

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls52934.2021.9455455 ◽

2021 ◽

Author(s):

Hanguang Su ◽

Huaguang Zhang ◽

Yanhong Luo ◽

Qiuye Sun

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Learning Algorithm ◽

Zero Sum Games ◽

Zero Sum ◽

Event Based ◽

Reinforcement Learning Algorithm

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