JOURNAL ARTICLE

Guaranteed cost consensus for multi‐agent systems with switching topologies

Zhong WangJianxiang XiZhicheng YaoGuangbin Liu

Year: 2014 Journal:   International Journal of Robust and Nonlinear Control Vol: 25 (16)Pages: 3099-3112   Publisher: Wiley

Abstract

Summary Firstly, guaranteed cost consensus for multi‐agent systems is introduced based on state errors among neighboring agents and control inputs of all agents, where a tradeoff between the consensus regulation performance and the control effort is considered. Then, a sufficient condition for guaranteed cost consensus is given by the state‐space decomposition approach and the Lyapunov method, where an upper bound of the cost function is determined and an approach is proposed to determine the control gain. It is worth mentioning that the criterions for guaranteed cost consensus are only dependent on the maximum eigenvalue of the Laplacian matrices of switching topologies. Finally, numerical simulations are given to demonstrate theoretical results. Copyright © 2014 John Wiley & Sons, Ltd.

Keywords:
Network topology Mathematical optimization Computer science Lyapunov function Upper and lower bounds Consensus Laplacian matrix Eigenvalues and eigenvectors Multi-agent system State (computer science) Function (biology) State space Control theory (sociology) Control (management) Laplace operator Topology (electrical circuits) Mathematics Algorithm Nonlinear system Artificial intelligence

Metrics

25
Cited By
4.04
FWCI (Field Weighted Citation Impact)
37
Refs
0.94
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
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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