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An adaptive event‐triggering scheme for networked interconnected control system with stochastic uncertainty
Author(s) -
Gu Zhou,
Shi Peng,
Yue Dong
Publication year - 2016
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.3570
Subject(s) - control theory (sociology) , computer science , scheme (mathematics) , event (particle physics) , bandwidth (computing) , adaptive control , stability (learning theory) , constant (computer programming) , lyapunov function , control (management) , nonlinear system , mathematics , computer network , artificial intelligence , quantum mechanics , machine learning , mathematical analysis , physics , programming language
Summary This paper investigates the problem of adaptive event‐triggering scheme for networked interconnected systems to relieve the burden of the network bandwidth. The data releasing is triggered by an adaptive event‐triggering device. The triggering condition depends on the state information at both the latest releasing instant and the current sampling instant. The threshold of the triggering parameter is achieved online rather than a predetermined constant. Taking the network‐induced delays and the coupling delays of the subsystems into account, together with the hybrid adaptive event‐triggering scheme and the stochastic uncertainty, we propose an unified model of the networked interconnected system. Sufficient conditions for the mean square stability and stabilization of the interconnected systems are developed by using Lyapunov–Krasovskii functional approach. A co‐designed method is put forward to obtain the controller gains and the weight of the triggering condition simultaneously. Finally, an example is provided to demonstrate the design method. Copyright © 2016 John Wiley & Sons, Ltd.