Integral Q-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systems

10.1016/j.automatica.2012.06.008 ◽

2012 ◽

Vol 48 (11) ◽

pp. 2850-2859 ◽

Author(s):

Jae Young Lee ◽

Jin Bae Park ◽

Yoon Ho Choi

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Policy Iteration ◽

Adaptive Optimal Control ◽

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

10.1016/j.automatica.2008.08.017 ◽

2009 ◽

Vol 45 (2) ◽

pp. 477-484 ◽

Author(s):

D. Vrabie ◽

O. Pastravanu ◽

M. Abu-Khalaf ◽

F.L. Lewis

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Policy Iteration ◽

Adaptive Optimal Control ◽

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Policy-iteration-based adaptive optimal control for uncertain continuous-time linear systems with excitation signals

10.1109/iccas.2010.5670225 ◽

2010 ◽

Author(s):

Jae Young Lee ◽

Jin Bae Park ◽

Yoon Ho Choi

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Policy Iteration ◽

Adaptive Optimal Control ◽

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Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics

10.1016/j.automatica.2012.06.096 ◽

2012 ◽

Vol 48 (10) ◽

pp. 2699-2704 ◽

Author(s):

Yu Jiang ◽

Zhong-Ping Jiang

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Adaptive Optimal Control ◽

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Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach

Systems & Control Letters ◽

10.1016/j.sysconle.2016.12.003 ◽

2017 ◽

Vol 100 ◽

pp. 14-20 ◽

Author(s):

Kyriakos G. Vamvoudakis

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Infinite Horizon ◽

Control Approach ◽

Time Linear ◽

Optimal Control Approach

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Adaptive Optimal Control With Guaranteed Convergence Rate for Continuous-Time Linear Systems With Completely Unknown Dynamics

IEEE Access ◽

10.1109/access.2019.2892427 ◽

2019 ◽

Vol 7 ◽

pp. 11526-11532 ◽

Author(s):

Kai Zhang ◽

Suo-Liang Ge

Keyword(s):

Optimal Control ◽

Convergence Rate ◽

Linear Systems ◽

Continuous Time ◽

Adaptive Optimal Control ◽

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Finite-time Extended State Observer Based Adaptive Optimal Control of Continuous-time Linear Systems

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/612/4/042048 ◽

2019 ◽

Vol 612 ◽

pp. 042048

Author(s):

Qinghua Zhang ◽

Yong Lin ◽

Yangdong Wen

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Finite Time ◽

State Observer ◽

Extended State Observer ◽

Extended State ◽

Adaptive Optimal Control ◽

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Online Adaptive Optimal Control of Discrete-time Linear Systems via Synchronous Q-learning

10.1109/smc52423.2021.9658677 ◽

2021 ◽

Author(s):

Xinxing Li ◽

Xueyuan Wang ◽

Wenzhong Zha

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Discrete Time ◽

Adaptive Optimal Control ◽

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Online adaptive optimal control for continuous-time Markov jump linear systems using a novel policy iteration algorithm

IET Control Theory and Applications ◽

10.1049/iet-cta.2014.0944 ◽

2015 ◽

Vol 9 (10) ◽

pp. 1536-1543 ◽

Author(s):

Shuping He ◽

Jun Song ◽

Fei Liu ◽

Zhengtao Ding

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Policy Iteration ◽

Iteration Algorithm ◽

Markov Jump ◽

Jump Linear Systems ◽

Adaptive Optimal Control ◽

Markov Jump Linear Systems ◽

Policy Iteration Algorithm

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Event-triggered H-infinity control for unknown continuous-time linear systems using Q-learning

2016 IEEE 55th Conference on Decision and Control (CDC) ◽

10.1109/cdc.2016.7798458 ◽

2016 ◽

Author(s):

Kyriakos G. Vamvoudakis ◽

Henrique Ferraz

Keyword(s):

Linear Systems ◽

Continuous Time ◽

H Infinity Control ◽

Time Linear ◽

Event Triggered

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Finite-horizon optimal control of discrete-time linear systems with completely unknown dynamics using Q-learning

Journal of Industrial & Management Optimization ◽

10.3934/jimo.2020030 ◽

2017 ◽

Vol 13 (5) ◽

pp. 0-0

Author(s):

Jingang Zhao ◽

◽

Chi Zhang

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Discrete Time ◽

Finite Horizon ◽

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