NDLI: Robust H-infinity filtering on uncertain time-delay systems under sampled measurements

Content Provider	IEEE Xplore Digital Library
Author	Ping Sun Xi-ling Jiang Shu-jiang Li Min-xiu Yan
Copyright Year	2009
Description	Author affiliation: Investigstion and Design Insititute of Water Resources and Hydropower Liaoning Province, China, 110006 (Xi-ling Jiang) \|\| School of Information Science and Engineering, Shenyang University of Technology, Liaoning Province, China, 110178 (Ping Sun; Shu-jiang Li) \|\| College of Information Engineering, Shengyang Institute of Chemical Technology, China, 110042 (Min-xiu Yan)
Abstract	The problem of robust H∞ filtering for uncertain time-delay systems under sampled measurements is concerned, both continuous and discrete disturbance are considered in the system. The parameter uncertainties considered here are real time-varying and norm-bounded. The aim is to design a stable filter, using sampled measurements, which ensure both the robust stability and prescribed level of H∞ performance in the continuous-time context, irrespective of the parameter uncertainties and unknown time delay. The sufficient conditions for the existence of the filter are derived. An LMI method for designing filters is given by matrix transformations, so it is convenient to obtain the expression of filter. Finally, a numerical example shows that the method is effective and feasible.
Starting Page	3837
Ending Page	3841
File Size	137605
Page Count	5
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5191781
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust H∞ Filtering Uncertain systems Filtering Robust stability Delay effects Design methodology H infinity control Time measurement Uncertain Time-Delay System Sufficient conditions Linear Matrix Inequality Filters Robustness Sampled Measurements
Content Type	Text
Resource Type	Article

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