JOURNAL ARTICLE

Observer-Based Robust Coordinated Control of Multiagent Systems With Input Saturation

Xiaoling WangHousheng SuMichael Z. Q. ChenXiaofan Wang

Year: 2017 Journal:   IEEE Transactions on Neural Networks and Learning Systems Vol: 29 (5)Pages: 1933-1946   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper addresses the robust semiglobal coordinated control of multiple-input multiple-output multiagent systems with input saturation together with dead zone and input additive disturbance. Observer-based coordinated control protocol is constructed, by combining the parameterized low-and-high-gain feedback technique and the high-gain observer design approach. It is shown that, under some mild assumptions on agents' intrinsic dynamics, the robust semiglobal consensus or robust semiglobal swarm can be approached for undirected connected multiagent systems. Then, specific guidelines on the selection of the low-gain parameter, the high-gain parameter, and the high-gain observer gain have been provided. At last, numerical simulations are presented to illustrate the theoretical results.

Keywords:
Control theory (sociology) Parameterized complexity Computer science Observer (physics) Multi-agent system Robust control Automatic gain control Saturation (graph theory) Swarm behaviour Control (management) Control system Mathematics Algorithm Artificial intelligence Engineering

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87
Cited By
10.85
FWCI (Field Weighted Citation Impact)
30
Refs
0.98
Citation Normalized Percentile
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Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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