Title
Dissipativity-Based Finite-Time Filtering for Uncertain Semi-Markovian Jump Random Systems With Multiple Time Delays and State Constraints
Abstract
This article is concerned with the issue of dissipativity-based finite-time multiple delay-dependent filtering for uncertain semi-Markovian jump random nonlinear systems with state constraints. There are multiple time-varying delays, nonlinear functions, and intermittent faults (IFs) in the systems. This is one of the few attempts for the issue studied in this article. First, a filter is designed for the uncertain semi-Markovian jump random nonlinear systems. An augmented system with regard to the resulting filtering error is acquired. Then, sufficient conditions of the augmented system are generated by the stochastic Lyapunov function. Finite-time boundedness (FTB) and input–output finite-time mean square stabilization (IO-FTMSS) are both realized. The effectiveness and feasibility of the method are rendered via three examples.
Year
DOI
Venue
2022
10.1109/TNNLS.2020.3047991
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Dissipativity,filter design,intermittent faults (IFs),random systems,semi-Markovian jump systems
Journal
33
Issue
ISSN
Citations 
7
2162-237X
1
PageRank 
References 
Authors
0.36
20
4
Name
Order
Citations
PageRank
Shaoxin Sun15611.79
H Zhang27027358.18
jian han314012.21
Juan Zhang410.36