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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 | Citation: | 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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