Constrained control of uncertain nonhomogeneous Markovian jump systems

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 feed...

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Main Authors: Yin, YanYan, Lin, Z.
Format: Journal Article
Published: John Wiley & Sons Ltd. 2017
Online Access:http://hdl.handle.net/20.500.11937/60212
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author Yin, YanYan
Lin, Z.
author_facet Yin, YanYan
Lin, Z.
author_sort Yin, YanYan
building Curtin Institutional Repository
collection Online Access
description 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.
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institution Curtin University Malaysia
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publishDate 2017
publisher John Wiley & Sons Ltd.
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spelling curtin-20.500.11937-602122018-05-22T01:27:11Z Constrained control of uncertain nonhomogeneous Markovian jump systems Yin, YanYan Lin, Z. 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. 2017 Journal Article http://hdl.handle.net/20.500.11937/60212 10.1002/rnc.3774 John Wiley & Sons Ltd. restricted
spellingShingle Yin, YanYan
Lin, Z.
Constrained control of uncertain nonhomogeneous Markovian jump systems
title Constrained control of uncertain nonhomogeneous Markovian jump systems
title_full Constrained control of uncertain nonhomogeneous Markovian jump systems
title_fullStr Constrained control of uncertain nonhomogeneous Markovian jump systems
title_full_unstemmed Constrained control of uncertain nonhomogeneous Markovian jump systems
title_short Constrained control of uncertain nonhomogeneous Markovian jump systems
title_sort constrained control of uncertain nonhomogeneous markovian jump systems
url http://hdl.handle.net/20.500.11937/60212