Journal
INFORMATION SCIENCES
Volume 451, Issue -, Pages 223-239Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2018.03.062
Keywords
Nonhomogeneous Markov jump; Partially mode-dependent; l(2) - l(infinity) filtering; Repeated scalar nonlinearities
Categories
Funding
- National Natural Science Foundation of China [61503121, 61573156]
- Fundamental Research Funds for the Central Universities [2016B07314]
- Qing Lan Project
Ask authors/readers for more resources
This paper is concerned with the problem of partially mode-dependent l(2) - l(infinity) filtering for discrete-time nonhomogeneous Markov jump systems (MJSs) with repeated scalar nonlinearities. Our main purpose is to design a partially mode-dependent l(2) - l(infinity) filter such that the filtering error system is stochastically stable with l(2) - l(infinity) performance. The time varying transition probabilities (TPs) are depicted as a polytope. By adopting the diagonally dominant Lyapunov functional and based on linear matrix inequalities (LMIs), sufficient conditions are presented for the existence of the filter. Three examples are given to validate the effectiveness of our results. (C) 2018 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available