Reinforcement Learning based Distributed Control of Dissipative Networked Systems

IEEE Transactions on Control of Network Systems ◽

10.1109/tcns.2021.3124896 ◽

2021 ◽

pp. 1-1

Author(s):

Krishna Chaitanya Kosaraju ◽

S Sivaranjani ◽

Wesley Suttle ◽

Vijay Gupta ◽

Ji Liu

Keyword(s):

Reinforcement Learning ◽

Distributed Control ◽

Networked Systems

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Reinforcement learning based schemes to manage client activities in large distributed control systems

Physical Review Accelerators and Beams ◽

10.1103/physrevaccelbeams.22.014601 ◽

2019 ◽

Vol 22 (1) ◽

Author(s):

Y. Gao ◽

J. Chen ◽

T. Robertazzi ◽

K. A. Brown

Keyword(s):

Reinforcement Learning ◽

Control Systems ◽

Distributed Control ◽

Distributed Control Systems

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A Platform for Deploying Multi-agent Deep Reinforcement Learning in Microgrid Distributed Control

10.1109/pesgm46819.2021.9638039 ◽

2021 ◽

Keyword(s):

Reinforcement Learning ◽

Distributed Control ◽

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Distributed control of leader-follower systems under adversarial inputs using reinforcement learning

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8280840 ◽

2017 ◽

Author(s):

Rohollah Moghadam ◽

Qinglai Wei ◽

Hamidreza Modares

Keyword(s):

Reinforcement Learning ◽

Distributed Control

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A Distributed Control Method for Urban Networks Using Multi-Agent Reinforcement Learning Based on Regional Mixed Strategy Nash-Equilibrium

IEEE Access ◽

10.1109/access.2020.2968937 ◽

2020 ◽

Vol 8 ◽

pp. 19750-19766 ◽

Author(s):

Zhaowei Qu ◽

Zhaotian Pan ◽

Yongheng Chen ◽

Xin Wang ◽

Haitao Li

Keyword(s):

Reinforcement Learning ◽

Nash Equilibrium ◽

Distributed Control ◽

Mixed Strategy ◽

Control Method ◽

Urban Networks ◽

Mixed Strategy Nash Equilibrium ◽

Multi Agent ◽

Strategy Nash Equilibrium

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Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2017.2741342 ◽

2018 ◽

Vol 48 (9) ◽

pp. 2510-2519 ◽

Author(s):

Vignesh Narayanan ◽

Sarangapani Jagannathan

Keyword(s):

Reinforcement Learning ◽

Distributed Control ◽

Interconnected Systems ◽

Event Triggered

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Neuro-Adaptive Distributed Control With Prescribed Performance for the Synchronization of Unknown Nonlinear Networked Systems

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2017.2702705 ◽

2018 ◽

Vol 48 (12) ◽

pp. 2135-2144 ◽

Author(s):

Sami El-Ferik ◽

Hashim A. Hashim ◽

Frank L. Lewis

Keyword(s):

Distributed Control ◽

Networked Systems ◽

Prescribed Performance

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Reinforcement learning and recruitment mechanism for adaptive distributed control

Annual Review in Automatic Programming ◽

10.1016/s0066-4138(09)91076-x ◽

1992 ◽

Vol 17 ◽

pp. 467-473 ◽

Author(s):

H. Bersini

Keyword(s):

Reinforcement Learning ◽

Distributed Control

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Markov Model-Driven in Real-time Faulty Node Detection for Naval Distributed Control Networked Systems

Journal of Institute of Control Robotics and Systems ◽

10.5302/j.icros.2014.14.8019 ◽

2014 ◽

Vol 20 (11) ◽

pp. 1131-1135

Author(s):

Dong-Hee Noh ◽

Dong-Seong Kim

Keyword(s):

Markov Model ◽

Real Time ◽

Distributed Control ◽

Networked Systems ◽

Model Driven ◽

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Reinforcement Learning for Distributed Control and Multi-player Games

Handbook of Reinforcement Learning and Control - Studies in Systems, Decision and Control ◽

10.1007/978-3-030-60990-0_2 ◽

2021 ◽

pp. 7-27

Author(s):

Bahare Kiumarsi ◽

Hamidreza Modares ◽

Frank Lewis

Keyword(s):

Reinforcement Learning ◽

Distributed Control

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REINFORCEMENT LEARNING AND RECRUITMENT MECHANISM FOR ADAPTIVE DISTRIBUTED CONTROL

Artificial Intelligence in Real-Time Control 1992 ◽

10.1016/b978-0-08-041898-8.50080-3 ◽

1993 ◽

pp. 467-473 ◽

Author(s):

H. Bersini

Keyword(s):

Reinforcement Learning ◽

Distributed Control

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