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Global Adaptive Observer for a Class of Nonlinear Systems

Qinghua Zhang 1 Aiping Xu 1
1 SIGMA2 - Signal, models, algorithms
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : The problem considered in this report is the joint estimation of state and some parameters for a class of truly nonlinear systems. The proposed method is constructive and garantees global convergence. It has been inspired by the technique of high gain observer and by a recent result on linear adaptive observer. A numerical example is presented for illustration. Potential applications of the adaptive observer arc adaptive control fault detection and isolation.
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Reports
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https://hal.inria.fr/inria-00072341
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Submitted on : Tuesday, May 23, 2006 - 8:28:21 PM
Last modification on : Friday, February 4, 2022 - 3:25:15 AM
Long-term archiving on: : Sunday, April 4, 2010 - 11:04:38 PM

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  • HAL Id : inria-00072341, version 1

Citation

Qinghua Zhang, Aiping Xu. Global Adaptive Observer for a Class of Nonlinear Systems. [Research Report] RR-4246, INRIA. 2001. ⟨inria-00072341⟩

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