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|Title:||Adaptive reliable H∞ filtering in the presence of sensor failures|
|Authors:||Yang, G.-H. |
Linear matrix inequalities (LMIs)
|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|
|Appears in Collections:||Staff Publications|
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