NDLI: Quantized H∞ filtering for discrete-time networked systems with mixed delays and missing measurements

Content Provider	IEEE Xplore Digital Library
Author	Yan Huaicheng Su Zhenzhen Zhang Hao Shi Hongbo
Copyright Year	2012
Description	Author affiliation: Department of Control Science and Engineering, Tongji University, Shanghai, 200092, China (Zhang Hao) \|\| Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education; School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China (Yan Huaicheng; Su Zhenzhen; Shi Hongbo)
Abstract	In this paper, the H∞ filtering problem is investigated for networked systems subject to quantization, discrete and distributed delays as well as missing measurements over unreliable communication channel. The missing measurements are modeled as a linear function of the stochastic variable satisfying Bernoulli random binary distribution, while the quantized measured output signals are considered by using the logarithmic quantization. The purpose of this paper is to design a filter such that, for the mixed delays and unreliable communication channel, the filtering error system is asymptotically mean square stable, and the H∞ filtering performance index is satisfied. A sufficient condition for the solvability of the problem is derived, and the filter parameters are designed by solving a linear matrix inequality (LMI). Finally, a numerical example is illustrated to show the usefulness of the designed filtering method.
Starting Page	5966
Ending Page	5971
File Size	221801
Page Count	6
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Symmetric matrices missing measurements Networked control systems (NCSs) mixed delays Stochastic processes Estimation H∞ filtering Quantization Performance analysis Linear matrix inequalities Delay quantization
Content Type	Text
Resource Type	Article

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