Adaptive synchronization of heterogeneous multi-agent systems: A free observer approach

被引：9

作者：

Arevalo-Castiblanco, Miguel F. ^{[1
]}

Tellez-Castro, Duvan ^{[1
]}

Sofrony, Jorge ^{[2
]}

Mojica-Nava, Eduardo ^{[1
]}

机构：

[1] Univ Nacl Colombia, Dept Elect & Elect Engn, Bogota, Colombia

[2] Univ Nacl Colombia, Dept Mech & Mechatron Engn, Bogota, Colombia

来源：

SYSTEMS & CONTROL LETTERS | 2020年 / 146卷

关键词：

Adaptive control; Distributed control; Optimal modification; Neural network approximation; Uncertainty management;

D O I：

10.1016/j.sysconle.2020.104804

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Adaptive synchronization protocols for heterogeneous multi-agent network are investigated. The interaction between each of the agents is carried out through a directed graph. We highlight the lack of communication between agents and the presence of uncertainties in each system among the conventional problems that can arise in cooperative networks. Two methodologies are presented to deal with the uncertainties: A strategy based on robust optimal control and a strategy based on neural networks. Likewise, an input estimation methodology is designed to face the disconnection that any agent may present on the network. These control laws can guarantee synchronization between agents even when there are disturbances or no communication from any agent. Stability and boundary analyzes are performed. Cooperative cruise control simulation results are shown to validate the performance of the proposed control methods. (c) 2020 Elsevier B.V. All rights reserved.

引用

页数：8

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