Solver-Critic: A Reinforcement Learning Method for Discrete-Time-Constrained-Input Systems

2022 ◽

pp. 1-13

Author(s):

Xin Yuan ◽

Yuanda Wang ◽

Jian Liu ◽

Changyin Sun

Keyword(s):

Reinforcement Learning ◽

Learning Method ◽

Constrained Input

Download Full-text

Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method

Neurocomputing ◽

10.1016/j.neucom.2016.02.029 ◽

2016 ◽

Vol 194 ◽

pp. 176-182 ◽

Cited By ~ 15

Author(s):

He Jiang ◽

Huaguang Zhang ◽

Yanhong Luo ◽

Junyi Wang

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Tracking Control ◽

Learning Method ◽

Markov Jump ◽

Markov Jump Systems ◽

Optimal Tracking ◽

Optimal Tracking Control ◽

Using Data ◽

Jump Systems

Download Full-text

Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2016.2542134 ◽

2017 ◽

Vol 64 (5) ◽

pp. 4091-4100 ◽

Cited By ~ 97

Author(s):

Huaguang Zhang ◽

He Jiang ◽

Yanhong Luo ◽

Geyang Xiao

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Data Driven ◽

Learning Method ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

Multi Agent

Download Full-text

A new robust output tracking control for discrete-time switched constrained-input systems with uncertainty via a critic-only iteration learning method

Neurocomputing ◽

10.1016/j.neucom.2018.07.095 ◽

2020 ◽

Vol 396 ◽

pp. 162-171 ◽

Cited By ~ 1

Author(s):

Kun Zhang ◽

Huaguang Zhang ◽

Yuling Liang ◽

Yinlei Wen

Keyword(s):

Discrete Time ◽

Tracking Control ◽

Learning Method ◽

Output Tracking ◽

Output Tracking Control ◽

Constrained Input

Download Full-text

Policy gradient reinforcement learning method for discrete-time linear quadratic regulation problem using estimated state value function

2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) ◽

10.23919/sice.2017.8105539 ◽

2017 ◽

Cited By ~ 1

Author(s):

Tomotake Sasaki ◽

Eiji Uchibe ◽

Hidenao Iwane ◽

Hitoshi Yanami ◽

Hirokazu Anai ◽

...

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Value Function ◽

Learning Method ◽

Linear Quadratic ◽

Policy Gradient ◽

Linear Quadratic Regulation ◽

Time Linear

Download Full-text

Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3121403 ◽

2021 ◽

pp. 1-13

Author(s):

Tieshan Li ◽

Weiwei Bai ◽

Qi Liu ◽

Yue Long ◽

C. L. Philip Chen

Keyword(s):

Reinforcement Learning ◽

Multiagent Systems ◽

Discrete Time ◽

Fault Tolerant ◽

Learning Method ◽

Containment Control ◽

Control Protocols

Download Full-text

Event-trigger-based robust control for nonlinear constrained-input systems using reinforcement learning method

Neurocomputing ◽

10.1016/j.neucom.2019.02.034 ◽

2019 ◽

Vol 340 ◽

pp. 158-170 ◽

Cited By ~ 12

Author(s):

Dongsheng Yang ◽

Ting Li ◽

Huaguang Zhang ◽

Xiangpeng Xie

Keyword(s):

Reinforcement Learning ◽

Robust Control ◽

Learning Method ◽

Event Trigger ◽

Constrained Input

Download Full-text

H ∞ control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning method

Neurocomputing ◽

10.1016/j.neucom.2016.11.041 ◽

2017 ◽

Vol 237 ◽

pp. 226-234 ◽

Cited By ~ 16

Author(s):

He Jiang ◽

Huaguang Zhang ◽

Yanhong Luo ◽

Xiaohong Cui

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Data Driven ◽

Learning Method ◽

Using Data ◽

Constrained Input

Download Full-text

A Plant Control Technology Using Reinforcement Learning Method with Automatic Reward Adjustment

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.129.1253 ◽

2009 ◽

Vol 129 (7) ◽

pp. 1253-1263

Author(s):

Toru Eguchi ◽

Takaaki Sekiai ◽

Akihiro Yamada ◽

Satoru Shimizu ◽

Masayuki Fukai

Keyword(s):

Reinforcement Learning ◽

Control Technology ◽

Learning Method ◽

Plant Control

Download Full-text

Multi-index Evaluation based Reinforcement Learning Method for Cyclic Optimization of Multiple Energy Utilization in Steel Industry

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189540 ◽

2020 ◽

Author(s):

Ze Wang ◽

Linqing Wang ◽

Zhongyang Han ◽

Jun Zhao

Keyword(s):

Reinforcement Learning ◽

Steel Industry ◽

Energy Utilization ◽

Learning Method ◽

Multi Index ◽

Index Evaluation

Download Full-text

Solver-Critic: A Reinforcement Learning Method for Discrete-Time-Constrained-Input Systems

Action Mapping: A Reinforcement Learning Method for Constrained-Input Systems

Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method

Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method

A new robust output tracking control for discrete-time switched constrained-input systems with uncertainty via a critic-only iteration learning method

Policy gradient reinforcement learning method for discrete-time linear quadratic regulation problem using estimated state value function

Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method

Event-trigger-based robust control for nonlinear constrained-input systems using reinforcement learning method

H ∞ control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning method

A Plant Control Technology Using Reinforcement Learning Method with Automatic Reward Adjustment

Multi-index Evaluation based Reinforcement Learning Method for Cyclic Optimization of Multiple Energy Utilization in Steel Industry

Export Citation Format