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Unified dwell time–based stability and stabilization criteria for switched linear stochastic systems and their application to intermittent control
Author(s) -
Luo Shixian,
Deng Feiqi,
Chen WuHua
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.3997
Subject(s) - dwell time , control theory (sociology) , lyapunov function , mathematics , stability (learning theory) , discretization , controller (irrigation) , linear matrix inequality , computer science , mathematical optimization , control (management) , nonlinear system , medicine , clinical psychology , mathematical analysis , physics , quantum mechanics , artificial intelligence , machine learning , agronomy , biology
Summary This paper considers the stability and stabilization problems for the switched linear stochastic systems under dwell time constraints, where the considered systems can be composed of an arbitrary combination of stable and unstable subsystems. First, a time‐varying discretized Lyapunov function is constructed based on the projection of a linear Lagrange interpolant and a switching‐time‐dependent “weighted” function. The “weighted” function not only enforces the Lyapunov function to decrease at switching instants but also coordinates the dynamical behavior of the subsystems. As a result, some unified criteria for mean square stability and almost sure stability of the switched stochastic systems are established in terms of linear matrix inequalities. Based on the obtained stochastic stability criteria, 2 types of state feedback controllers for the systems are designed. Moreover, the novel results are applied to solve the intermittent control or the controller failure problems. Finally, conservatism analysis and numerical examples are provided to illustrate the effectiveness of the established theoretical results.