State estimation for time-delay systems with Markov jump parameters and missing measurements
type: Item
instance of: scholarly article
title: State estimation for time-delay systems with Markov jump parameters and missing measurements
zbMATH Open document ID: 1469.93098
DOI: 10.1155/2014/379565
author: Yushun Tan
author: Qiong Qi
author: Jinliang Liu
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: This paper is concerned with the state estimation problem for a class of time-delay systems with Markovian jump parameters and missing measurements, considering the fact that data missing may occur in the process of transmission and its failure rates are governed by random variables satisfying certain probabilistic distribution. By employing a new Lyapunov function and using the convexity property of the matrix inequality, a sufficient condition for the existence of the desired state estimator for Markovian jump systems with missing measurements can be achieved by solving some linear matrix inequalities, which can be easily facilitated by using the standard numerical software. Furthermore, the gain of state estimator can also be derived based on the known conditions. Finally, a numerical example is exploited to demonstrate the effectiveness of the proposed method.
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 7022264
Wikidata QID: Q59036909
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/379565
OpenAlex ID: W2010879638
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description: scientific article; zbMATH DE number 7022264