An adaptive observer for joint estimation of states and parameters in both state and output equations

Xiuliang Li Qinghua Zhang 1 Hongye Su
1 SISYPHE - SIgnals and SYstems in PHysiology & Engineering
Inria Paris-Rocquencourt
Abstract : An adaptive observer is a recursive algorithm for joint state-parameter estimation of parameterized state-space systems. Previous works on globally convergent adaptive observers consider unknown parameters either in state equations or in output equations, but not in both of them. In this paper, a new adaptive observer is designed for linear time-varying systems with unknown parameters in both state and output equations. Its global convergence for simultaneous estimation of states and parameters is formally established under appropriate assumptions. A numerical example is presented to illustrate the performance of this adaptive observer.
Keywords : adaptive observer state and parameter estimation linear time-varying system fault detection and isolation
Type de document :
Article dans une revue
International Journal of Adaptive Control and Signal Processing, Wiley, 2011, 25 (9), pp.831-842. 〈10.1002/acs.1244〉
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https://hal.inria.fr/hal-00777420
Contributeur : Qinghua Zhang <>
Soumis le : jeudi 17 janvier 2013 - 14:54:37
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Xiuliang Li, Qinghua Zhang, Hongye Su. An adaptive observer for joint estimation of states and parameters in both state and output equations. International Journal of Adaptive Control and Signal Processing, Wiley, 2011, 25 (9), pp.831-842. 〈10.1002/acs.1244〉. 〈hal-00777420〉

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