H∞ state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays-Reference-Cited by-同舟云学术

H∞ state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays

Published:2014-06-27 Issue:13 Volume:25 Page:2180-2195
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int. J. Robust Nonlinear Control

Author:

Ding Derui¹,Wang Zidong²³,Shen Bo¹,Dong Hongli⁴⁵

Affiliation:

1. School of Information Science and Technology; Donghua University; Shanghai 200051 China

2. Department of Computer Science; Brunel University; Uxbridge, Middlesex UB8 3PH UK

3. NAAM Research Group, Department of Mathematics; King Abdulaziz University; Jeddah 21589 Saudi Arabia

4. Institute for Automatic Control and Complex Systems; University of Duisburg-Essen; Duisburg 47057 Germany

5. College of Electrical and Information Engineering; Northeast Petroleum University; Daqing 163318 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/rnc.3201/fullpdf

Reference39 articles.

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3. Optimal unbiased functional filtering in the frequency domain;Darouach;Systems Science and Control Engineering: An Open Access Journal,2014

4. Robust H∞ filtering with error variance constraints for discrete time-varying systems with uncertainty;Hung;Automatica,2003

5. Finite-horizon H∞ filtering for time-varying delay systems with randomly varying nonlinearities and sensor saturations;Liang;Systems Science and Control Engineering: An Open Access Journal,2014

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