Model-free Q-learning over finite horizon for uncertain linear continuous-time systems

2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) ◽

10.1109/adprl.2014.7010629 ◽

2014 ◽

Author(s):

Hao Xu ◽

S. Jagannathan

Keyword(s):

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Solving Finite-Horizon HJB for Optimal Control of Continuous-Time Systems

2021 International Conference on Computer, Control and Robotics (ICCCR) ◽

10.1109/icccr49711.2021.9349412 ◽

2021 ◽

Author(s):

Ziyu Lin ◽

Jingliang Duan ◽

Shengbo Eben Li ◽

Jie Li ◽

Haitong Ma ◽

...

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration

IET Control Theory and Applications ◽

10.1049/iet-cta.2014.1325 ◽

2015 ◽

Vol 9 (12) ◽

pp. 1791-1801 ◽

Author(s):

Chao Li ◽

Derong Liu ◽

Hongliang Li

Keyword(s):

Continuous Time ◽

Tracking Control ◽

Policy Iteration ◽

Finite Horizon ◽

Optimal Tracking ◽

Optimal Tracking Control ◽

Continuous Time Systems ◽

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Adaptive Dynamic Programming for Model-Free Global Stabilization of Control Constrained Continuous-Time Systems

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2989419 ◽

2020 ◽

pp. 1-13

Author(s):

Syed Ali Asad Rizvi ◽

Zongli Lin

Keyword(s):

Dynamic Programming ◽

Continuous Time ◽

Adaptive Dynamic Programming ◽

Global Stabilization ◽

Adaptive Dynamic ◽

Continuous Time Systems ◽

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A model-free approach to fault detection of continuous-time systems based on time domain data

International Journal of Automation and Computing ◽

10.1007/s11633-007-0189-y ◽

2007 ◽

Vol 4 (2) ◽

pp. 189-194 ◽

Author(s):

Ping Zhang ◽

Steven X. Ding

Keyword(s):

Fault Detection ◽

Time Domain ◽

Continuous Time ◽

Time Domain Data ◽

Continuous Time Systems ◽

Model Free Approach ◽

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Neuro-observer based online finite-horizon optimal control for uncertain non-linear continuous-time systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2016.0966 ◽

2017 ◽

Vol 11 (3) ◽

pp. 401-410 ◽

Author(s):

Yuzhu Huang

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Q-Learning-Based Model Predictive Control for Nonlinear Continuous-Time Systems

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.0c02321 ◽

2020 ◽

Vol 59 (40) ◽

pp. 17987-17999

Author(s):

Hao Zhang ◽

Shaoyuan Li ◽

Yi Zheng

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Continuous Time ◽

Continuous Time Systems ◽

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Neural-network-based finite horizon optimal control for partially unknown linear continuous-time systems

2015 Seventh International Conference on Advanced Computational Intelligence (ICACI) ◽

10.1109/icaci.2015.7184777 ◽

2015 ◽

Author(s):

Chao Li ◽

Hongliang Li ◽

Derong Liu

Keyword(s):

Neural Network ◽

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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A MODEL-FREE FAULT DETECTION APPROACH OF CONTINUOUS-TIME SYSTEMS FROM TIME DOMAIN DATA

IFAC Proceedings Volumes ◽

10.3182/20060829-4-cn-2909.00090 ◽

2006 ◽

Vol 39 (13) ◽

pp. 546-551

Author(s):

P. Zhang ◽

S.X. Ding

Keyword(s):

Fault Detection ◽

Time Domain ◽

Continuous Time ◽

Time Domain Data ◽

Detection Approach ◽

Continuous Time Systems ◽

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Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems

2014 American Control Conference ◽

10.1109/acc.2014.6858693 ◽

2014 ◽

Author(s):

Hao Xu ◽

Qiming Zhao ◽

Travis Dierks ◽

S. Jagannathan

Keyword(s):

Neural Network ◽

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Model-Free Reinforcement Learning-Based Control for Continuous-Time Systems

Encyclopedia of Systems and Control ◽

10.1007/978-1-4471-5102-9_100065-1 ◽

2020 ◽

pp. 1-12

Author(s):

Kyriakos G. Vamvoudakis

Keyword(s):

Reinforcement Learning ◽

Continuous Time ◽

Continuous Time Systems ◽

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