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Constrained control of uncertain nonhomogeneous Markovian jump systems
Author(s) -
Yin Yanyan,
Lin Zongli
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.3774
Subject(s) - polytope , convex hull , mathematics , control theory (sociology) , bounded function , norm (philosophy) , linear matrix inequality , convex optimization , optimization problem , jump , domain (mathematical analysis) , mathematical optimization , regular polygon , computer science , control (management) , law , mathematical analysis , physics , geometry , discrete mathematics , quantum mechanics , artificial intelligence , political science
Summary This paper addresses the problem of robust stabilization for uncertain systems subject to input saturation and nonhomogeneous Markovian jumps, where the uncertainties are assumed to be norm bounded and the transition probabilities are time‐varying and unknown. By expressing the saturated linear feedback law on a convex hull of a group of auxiliary linear feedback laws and the time‐varying transition probabilities inside a polytope, we establish conditions under which the closed‐loop system is asymptotically stable. On the basis of these conditions, the problem of designing the state feedback gains for achieving fast transience response with a guaranteed size of the domain of attraction is formulated and solved as a constrained optimization problem with linear matrix inequality constraints. The results are then illustrated by numerical examples including the application to a DC motor speed control example. Copyright © 2017 John Wiley & Sons, Ltd.