文章基本信息

标题：Performance–guaranteed consensus control inspired by the mammalian limbic system for a class of nonlinear multi-agents ⁎
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作者：Ignacio Rubio Scola ; Luis Rodolfo Garcia Carrillo ; João P. Hespanha 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：9496-9501
DOI：10.1016/j.ifacol.2020.12.2425
语种：English
出版社：Elsevier
摘要：AbstractComputational models of emotional learning observed in the mammalian brain have inspired diverse self-learning control approaches. These architectures are promising in terms of their fast learning ability and low computational cost. In this paper, the objective is to establish performance–guaranteed emotional learning–inspired control (ELIC) strategies for autonomous multi–agent systems (MAS), where each agent incorporates an ELIC structure to support the consensus controller. The objective of each ELIC structure is to identify and compensate model differences between the theoretical assumptions taken into account when tuning the consensus protocol, and the real conditions encountered in the real system to be stabilized. Stability of the closed-loop MAS is demonstrated using a Lyapunov analysis. Simulation results based on the consensus task of a group of inverted pendulums demonstrate the effectiveness of the proposed ELIC for stabilization of nonlinear MAS.
关键词：KeywordsMulti-agents systemsBiologically-inspired controlRobust controlDistributed controlNonlinear Control