Exponential Stability of Time-Switched Two-Subsystem Nonlinear Systems with Application to Intermittent Control
Author(s) -
Chuandong Li,
Tingwen Huang
Publication year - 2009
Publication title -
journal of inequalities and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 50
eISSN - 1029-242X
pISSN - 1025-5834
DOI - 10.1155/2009/348242
Subject(s) - control theory (sociology) , mathematics , linearization , exponential stability , nonlinear system , lyapunov function , convex combination , stability (learning theory) , exponential function , hybrid system , linear system , regular polygon , control (management) , convex optimization , computer science , mathematical analysis , physics , quantum mechanics , artificial intelligence , machine learning , geometry
This paper studies the exponential stability of a class of periodically time-switched nonlinear systems. Three cases of such systems which are composed, respectively, of a pair of unstable subsystems, of both stable and unstable subsystems, and of a pair of stable systems, are considered. For the first case, the proposed result shows that there exists periodically switching rule guaranteeing the exponential stability of the whole system with (sufficient) small switching period if there is a Hurwitz linear convex combination of two uncertain linear systems derived from two subsystems by certain linearization. For the second case, we present two general switching criteria by means of multiple and single Lyapunov function, respectively. We also investigate the stability issue of the third case, and the switching criteria of exponential stability are proposed. The present results for the second case are further applied to the periodically intermittent control. Several numerical examples are also given to show the effectiveness of theoretical results.
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