Reinforcement learning based computational adaptive optimal control and system identification for linear systems

Annual Reviews in Control ◽

10.1016/j.arcontrol.2016.09.021 ◽

2016 ◽

Vol 42 ◽

pp. 319-331 ◽

Cited By ~ 2

Author(s):

Kamesh Subbarao ◽

Pavan Nuthi ◽

Ghassan Atmeh

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

System Identification ◽

Linear Systems ◽

Adaptive Optimal Control

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Adaptive optimal control of unknown discrete-time linear systems with guaranteed prescribed degree of stability using reinforcement learning

International Journal of Dynamics and Control ◽

10.1007/s40435-021-00836-x ◽

2021 ◽

Author(s):

Seyed Ehsan Razavi ◽

Mohammad Amin Moradi ◽

Saeed Shamaghdari ◽

Mohammad Bagher Menhaj

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Linear Systems ◽

Discrete Time ◽

Adaptive Optimal Control ◽

Degree Of Stability ◽

Time Linear

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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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Reinforcement Learning is Direct Adaptive Optimal Control

1991 American Control Conference ◽

10.23919/acc.1991.4791776 ◽

1991 ◽

Cited By ~ 19

Author(s):

Richard S. Sutton ◽

Andrew G. Barto ◽

Ronald J. Williams

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Adaptive Optimal Control

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Adaptive optimal control via reinforcement learning for omni-directional wheeled robots

2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) ◽

10.1109/icciautom.2016.7483162 ◽

2016 ◽

Author(s):

Arash Sheikhlar ◽

Ahmad Fakharian

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Adaptive Optimal Control ◽

Wheeled Robots

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

Automatica ◽

10.1016/j.automatica.2012.06.096 ◽

2012 ◽

Vol 48 (10) ◽

pp. 2699-2704 ◽

Cited By ~ 352

Author(s):

Yu Jiang ◽

Zhong-Ping Jiang

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Continuous Time ◽

Adaptive Optimal Control ◽

Time Linear

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Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes

2018 International Symposium on Electronics and Telecommunications (ISETC) ◽

10.1109/isetc.2018.8583854 ◽

2018 ◽

Author(s):

Johannes Dornheim ◽

Norbert Link

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Manufacturing Processes ◽

Adaptive Optimal Control

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Data-Driven Online Adaptive Optimal Control for Linear Systems with Completely Unknown Dynamics

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2019.8908902 ◽

2019 ◽

Author(s):

Jun Zhao ◽

Jing Na ◽

Guanbin Gao ◽

Yuyao Xiao ◽

Zhuoyue Song

Keyword(s):

Optimal Control ◽

Linear Systems ◽

Data Driven ◽

Adaptive Optimal Control

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A reinforcement learning-based scheme for direct adaptive optimal control of linear stochastic systems

Optimal Control Applications and Methods ◽

10.1002/oca.915 ◽

2009 ◽

Vol 31 (4) ◽

pp. 365-374 ◽

Cited By ~ 5

Author(s):

Wee Chin Wong ◽

Jay H. Lee

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Stochastic Systems ◽

Adaptive Optimal Control ◽

Linear Stochastic Systems

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Adaptive optimal control of stencil printing process using reinforcement learning

Robotics and Computer-Integrated Manufacturing ◽

10.1016/j.rcim.2021.102132 ◽

2021 ◽

Vol 71 ◽

pp. 102132

Author(s):

Nourma Khader ◽

Sang Won Yoon

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Stencil Printing ◽

Printing Process ◽

Adaptive Optimal Control

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Reinforcement Learning and Adaptive Optimal Control of Congestion Pricing

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2021.06.026 ◽

2021 ◽

Vol 54 (2) ◽

pp. 221-226

Author(s):

Tri Nguyen ◽

Weinan Gao ◽

Xiangnan Zhong ◽

Shaurya Agarwal

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Congestion Pricing ◽

Adaptive Optimal Control

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