Open AccessContainment analysis of Markov jump swarm systems with stationary distribution
Author(s) -
Ji Huihui,
Zhang He,
Cui Baotong
Publication year - 2017
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2016.1080
Subject(s) - swarm behaviour , containment (computer programming) , control theory (sociology) , jump , markov chain , markov process , mathematical optimization , computer science , scalability , mathematics , control (management) , artificial intelligence , statistics , physics , quantum mechanics , database , machine learning , programming language
Containment control problems for high‐order linear Markov jump swarm systems with a dynamic output feedback under directed interaction topologies are investigated. A necessary and sufficient condition for Markov jump swarm systems to guarantee output containment is proposed. A sufficient condition is further presented to ensure the scalability of the criteria. Finally, numerical simulations show that the swarm system achieves output containment under the sufficient condition.