NDLI: Adaptive Reliable $H_{∞}$ Filtering in the Presence of Sensor Failures

Content Provider	IEEE Xplore Digital Library
Author	Guang-Hong Yang Dan Ye
Copyright Year	2006
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang (Guang-Hong Yang; Dan Ye)
Abstract	This paper is concerned with the adaptive reliable $H_{∞}$ filtering problem against sensor failures for continuous-time linear systems. An adaptive $H_{∞}$ performance index is defined to describe the disturbance attenuation performance of systems with time-varying parameter estimations. By combining the linear matrix inequality (LMI) approach for $H_{∞}$ filter design and adaptive method, a method of designing adaptive reliable $H_{∞}$ filters is proposed, where the filter parameter matrices are updating automatically to compensate the sensor fault effects on systems based on the on-line estimations of eventual faults. It is shown that the design condition for the newly proposed adaptive $H_{∞}$ filtering is more relaxed than that for the traditional fixed gain filter design based on LMI approach. A numerical example and its simulations are given to illustrate the effectiveness of the results
Starting Page	1698
Ending Page	1703
File Size	184600
Page Count	6
File Format	PDF
ISBN	1424401712
DOI	10.1109/CDC.2006.376978
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive filters Nonlinear filters Filtering Sensor systems Linear matrix inequalities Design methodology Linear systems Adaptive systems Performance analysis Attenuation sensor failures reliable filtering H_∞ filtering adaptive method linear matrix inequalities (LMIs)
Content Type	Text
Resource Type	Article

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