JOURNAL ARTICLE

Consensus of Linear MIMO Multiagent Systems: Appointed-Time Reduced-Order Observer-Based Protocols

Tianqi LiuMengquan LiuGuanghui WenYuezu LvJunjie Fu

Year: 2021 Journal:   IEEE Transactions on Cybernetics Vol: 52 (10)Pages: 10604-10610   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This article is devoted to designing distributed adaptive attack-free protocols for the consensus of linear multi-input multioutput multiagent systems under directed graphs, where the appointed-time reduced-order observers are proposed based only upon the relative output information among neighboring agents. One of the distinguishing features of the attack-free protocols lies in the prohibition on information transmission via the communication channel. By viewing the relative control input as the unknown input on the dynamics of each agent, a class of new unknown input observers is introduced with only the relative output measurement involved. The appointed-time estimation of the consensus error is achieved by utilizing jump discontinuity in the observer design and employing the property of the nilpotent matrix. Moreover, a linear transformation is made on the system of consensus error to realize the observer order reduction. Both theoretical analysis and simulation illustration are presented to reveal the effectiveness of the proposed attack-free protocols.

Keywords:
Observer (physics) Computer science Control theory (sociology) Multi-agent system Transformation (genetics) MIMO Consensus Network packet Control (management) Channel (broadcasting) Artificial intelligence Computer security Computer network

Metrics

12
Cited By
1.49
FWCI (Field Weighted Citation Impact)
43
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

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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