JOURNAL ARTICLE

Containment control of stochastic multiagent systems with semi‐Markovian switching topologies

Ke LiXiaowu Mu

Year: 2019 Journal:   International Journal of Robust and Nonlinear Control Vol: 29 (14)Pages: 4943-4955   Publisher: Wiley

Abstract

Summary The containment control of stochastic multiagent systems with semi‐Markov switching topologies is investigated in this paper. The general case that the distribution function of the sojourn time is dependent on both the current system mode and the target mode is considered. Taking state multiplicative noise into account and using stochastic techniques, sufficient conditions to achieve the containment control in the asymptotic mean square sense are obtained in a form of linear matrix inequalities and the controller design condition is given. Finally, a simulation is given to demonstrate the effectiveness of the obtained theoretical results.

Keywords:
Network topology Multiplicative noise Multiplicative function Control theory (sociology) Controller (irrigation) Containment (computer programming) Markov process Noise (video) Multi-agent system Markov chain Computer science State (computer science) Mathematical optimization Mathematics Control (management) Topology (electrical circuits) Transmission (telecommunications) Algorithm

Metrics

34
Cited By
4.08
FWCI (Field Weighted Citation Impact)
26
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
Mathematical and Theoretical Epidemiology and Ecology Models
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health

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