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Event‐based asynchronous communication and sampled control for synchronization of multiagent networks with input saturation
Author(s) -
Zhang Liangyin,
Chen Michael Z.Q.,
Su Housheng,
Chen Guanrong
Publication year - 2017
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.3988
Subject(s) - asynchronous communication , control theory (sociology) , synchronization (alternating current) , computer science , zeno's paradoxes , algebraic riccati equation , saturation (graph theory) , multi agent system , transmission (telecommunications) , controller (irrigation) , riccati equation , control (management) , mathematics , artificial intelligence , computer network , differential equation , telecommunications , mathematical analysis , channel (broadcasting) , geometry , combinatorics , agronomy , biology
Summary This paper investigates the problem of event‐based synchronization of linear dynamical networks subject to input saturation. The asynchronous neighboring information transmission is triggered by distributed events. The sampled control technique is utilized to exclude both the internal Zeno behavior of each agent and the network Zeno behavior attributed to neighboring agents. Allowing the input saturation to be attained, an event‐based global synchronization algorithm is proposed for multiagent networks with neutrally stable dynamics. For general linear networks, an event‐triggered control protocol is designed using the modified algebraic Riccati equation, with a low‐gain cooperative control law proposed to achieve semiglobal synchronization. A numerical example is presented to illustrate the theoretical results.