Stabilization of Networked Interconnected Systems
Author(s) -
Dan Jin,
Li Yu,
WenAn Zhang
Publication year - 2017
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2017.p0251
Subject(s) - computer science , dwell time , control theory (sociology) , convex optimization , state (computer science) , regular polygon , decentralised system , discrete time and continuous time , mathematical optimization , exponential stability , stability (learning theory) , control (management) , mathematics , algorithm , nonlinear system , artificial intelligence , clinical psychology , statistics , geometry , physics , quantum mechanics , machine learning , medicine
In this paper, the decentralized stabilization of networked interconnected systems is investigated. The switched system approach is used to deal with the network-induced time-varying delays, and a discrete-time switched systems model is proposed to describe the networked interconnected systems. Furthermore, a sufficient condition is derived for the closed-loop systems to be exponentially stable by introducing the average dwell time, and a procedure for the design of decentralized state feedback controllers is presented by solving a convex optimization problem. A numerical example is given to illustrate the effectiveness of the proposed results.
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