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Resilient dynamic output feedback control for bipartite consensus of multiagent systems with Markov switching topologies
Author(s) -
Sakthivel Rathinasamy,
Parivallal Arumugam,
Manickavalli Subramanian,
Kong Fanchao,
Ren Yong
Publication year - 2021
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.5578
Subject(s) - bipartite graph , network topology , multi agent system , control theory (sociology) , controller (irrigation) , algebraic graph theory , consensus , output feedback , computer science , markov chain , lyapunov function , lyapunov stability , markov process , mathematics , graph , topology (electrical circuits) , control (management) , theoretical computer science , nonlinear system , artificial intelligence , statistics , physics , quantum mechanics , machine learning , combinatorics , agronomy , biology , operating system
This study is systematically devoted to the problem of dynamic output feedback control for bipartite consensus of multiagent systems in the presence of Markov switching topologies. The main purpose of this study is to develop a dynamic output feedback controller with gain fluctuations such that the considered multiagent system achieves bipartite consensus. Notably, the interaction among agents of the considered system is depicted by a signed undirected Markovian switching network topologies. Pursuant to Lyapunov stability theory and algebraic graph theory, sufficient conditions will be derived in terms of linear matrix inequalities to obtain the bipartite consensus of the concerned problem. At last, superiority of the designed dynamic output feedback control technique and developed theoretical results are conferred through two numerical examples.