Distributed Adaptive Dynamic Programming for Consensus Control of Multiagent Systems Within Hierarchical Stackelberg-Nash Game Framework

This article investigates the leader-follower consensus for nonlinear multiagent systems (MASs) and proposes an adaptive dynamic programming (ADP)-based hierarchical Stackelberg-Nash optimal game control method. Initially, a coupled performance index function associated with consensus errors is cons...

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Vydané v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 55; číslo 6; s. 4286 - 4300
Hlavní autori:	Zhang, Haoyan, Zhang, Yingwei, Zhao, Xudong, Su, Chun-Yi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2025
Predmet:	Artificial neural networks Differential games Distributed adaptive dynamic programming (ADP) Dynamic programming Games hierarchical Stackelberg-Nash game leader-follower consensus Multi-agent systems Nash equilibrium nonlinear multiagent systems (MASs) Optimal control Performance analysis single-critic neural network (NN) Topology
ISSN:	2168-2216, 2168-2232
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