Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming

This paper develops an event-triggered multi-agent control method based on adaptive dynamic programming (ADP) techniques. Different from the traditional ADP-based multi-agent control with fixed sampling period, our method designs an adaptive controller only based on the efficiently reduced samples....

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Vydané v:	Proceedings of ... International Joint Conference on Neural Networks s. 1 - 8
Hlavní autori:	Zhong, Xiangnan, He, Haibo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2020
Predmet:	adaptive dynamic programming and online learning Dynamic programming Event-triggered control Multi-agent systems Nash equilibrium Nickel Stability analysis Synchronization Task analysis
ISSN:	2161-4407
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