Probability-dependent static output feedback control for discrete-time nonlinear stochastic systems with missing measurements
type: Item
instance of: scholarly article
title: Probability-dependent static output feedback control for discrete-time nonlinear stochastic systems with missing measurements
zbMATH Open document ID: 1264.93208
DOI: 10.1155/2012/696742
author: Wangyan Li
author: Guoliang Wei
author: Licheng Wang
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: This paper is devoted to the problems of gain-scheduled control for a class of discrete-time stochastic systems with infinite-distributed delays and missing measurements by utilizing probability-dependent Lyapunov functional. The missing-measurement phenomenon is assumed to occur in a random way, and the missing probability is time varying with securable upper and lower bounds that can be measured in real time. The purpose is to design a static output feedback controller with scheduled gains such that, for the admissible random missing measurements, time delays, and noises, the closed-loop system is exponentially mean-square stable. At last, a simulation example is exploited to illustrate the effectiveness of the proposed design procedures.
Mathematics Subject Classification ID: 93D15
Mathematics Subject Classification ID: 93E03
zbMATH DE Number: 6173492
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/696742
OpenAlex ID: W1996231712
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Wikidata QID: Q58911589
description: scientific article; zbMATH DE number 6173492