Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/116686
Title: Adaptive reliable H∞ filtering in the presence of sensor failures
Authors: Yang, G.-H. 
Ye, D.
Keywords: Adaptive method
H∞ filtering
Linear matrix inequalities (LMIs)
Linear systems
Reliable filtering
Sensor failures
Issue Date: 2006
Source: Yang, G.-H.,Ye, D. (2006). Adaptive reliable H∞ filtering in the presence of sensor failures. Proceedings of the IEEE Conference on Decision and Control : 1698-1703. ScholarBank@NUS Repository.
Abstract: This paper is concerned with the adaptive reliable H∞ filtering problem against sensor failures for continuoustime 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. © 2006 IEEE.
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/116686
ISBN: 1424401712
ISSN: 01912216
Appears in Collections:Staff Publications

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