Adaptive observer-based fault estimation for stochastic Markovian jumping systems

18Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This paper studies the adaptive fault estimation problems for stochastic Markovian jump systems (MJSs) with time delays. With the aid of the selected Lyapunov-Krasovskii functional, the adaptive fault estimation algorithm based on adaptive observer is proposed to enhance the rapidity and accuracy performance of fault estimation. A sufficient condition on the existence of adaptive observer is presented and proved by means of linear matrix inequalities techniques. The presented results are extended to multiple time-delayed MJSs. Simulation results illustrate that the validity of the proposed adaptive faults estimation algorithms. Copyright © 2012 Shuping He and Fei Liu.

Cite

CITATION STYLE

APA

He, S., & Liu, F. (2012). Adaptive observer-based fault estimation for stochastic Markovian jumping systems. Abstract and Applied Analysis, 2012. https://doi.org/10.1155/2012/176419

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free