Robust fault detection of Markovian jump systems
type: Item
instance of: scholarly article
title: Robust fault detection of Markovian jump systems
zbMATH Open document ID: 1063.93049
author: Maiying Zhong
author: James Lam
author: Steven X. Ding
author: Peng Shi
published in: Circuits, Systems, and Signal Processing
publication date: 2005-02-11T00:00:00Z
review text: This paper deals with the problem of observer-based robust fault detection for both continuous- and discrete-time linear Markovian jump systems with an unknown input. By using a fault detection filter as residual generator and a proposed performance index as objective function, the robust fault detection filter design is formulated as an optimization problem. A sufficient condition to solve this problem is established in terms of the feasibility of certain matrix inequalities, which can be solved via iterative linear matrix inequality algorithms. The residual evaluation problem is also considered. A numerical example is given to illustrate the effectiveness of the proposed techniques.
reviewed by: Vyacheslav A. Vasiliev
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 15A39
Mathematics Subject Classification ID: 60J75
Mathematics Subject Classification ID: 90B25
zbMATH DE Number: 2133413
zbMATH Keywords: fault detection filter
zbMATH Keywords: linear matrix inequality
zbMATH Keywords: Markovian jump system
zbMATH Keywords: residual evaluation
zbMATH Keywords: optimization
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 2133413