Variance-constrained state estimation for networked multi-rate systems with measurement quantization and probabilistic sensor failures-Reference-Cited by-同舟云学术

Variance-constrained state estimation for networked multi-rate systems with measurement quantization and probabilistic sensor failures

Published:2016-02-11 Issue:16 Volume:26 Page:3507-3523
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int. J. Robust. Nonlinear Control

Author:

Zhang Yong¹,Wang Zidong²³,Ma Lifeng⁴

Affiliation:

1. School of Information Science and Engineering; Wuhan University of Science and Technology; Wuhan 430081 China

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

3. Communication Systems and Networks (CSN) Research Group, Faculty of Engineering; King Abdulaziz University; Jeddah 21589 Saudi Arabia

4. School of Automation; Nanjing University of Science and Technology; Nanjing 210094 China

Funder

National Natural Science Foundation of China

Royal Society of the UK

Natural Science Foundation of Jiangsu Province

Postdoctoral Science Foundation of China

China Postdoctoral Council

Alexander von Humboldt Foundation of Germany

Publisher

Wiley

Subject

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

Reference38 articles.

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2. Event-triggered robust distributed state estimation for sensor networks with state-dependent noises;Dong;International Journal of General Systems,2015

3. Recent advances on distributed filtering for stochastic systems over sensor networks;Ding;International Journal of General Systems,2014

4. Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple missing measurements;Ding;International Journal of General Systems,2015

5. A recursive approach to non-fragile filtering for networked systems with stochastic uncertainties and incomplete measurements;Hu;The Journal of The Franklin Institute,2015

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