Input-Output Data-Based Output Antisynchronization Control of Multiagent Systems Using Reinforcement Learning Approach

This article investigates an output antisynchronization problem of multiagent systems by using an input-output data-based reinforcement learning approach. Till now, most of the existing results on antisynchronization problems required full-state information and exact system dynamics in the controlle...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on industrial informatics Ročník 17; číslo 11; s. 7359 - 7367
Hlavní autori:	Peng, Zhinan, Zhao, Yiyi, Hu, Jiangping, Luo, Rui, Ghosh, Bijoy Kumar, Nguang, Sing Kiong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.11.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Control systems design Control theory Heuristic algorithms Incremental actor–critic (AC) network Informatics input–output data Iterative algorithms Iterative methods Learning Multi-agent systems Multiagent systems Network topology optimal antisynchronization Optimal control partially observable multiagent systems reinforcement learning (RL) Synchronization System dynamics
ISSN:	1551-3203, 1941-0050
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!