2011
DOI: 10.1007/s00034-011-9320-y
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A Nonlinear Adaptive Resilient Observer Design for a Class of Lipschitz Systems Using LMI

Abstract: This paper addresses the parameter and state estimation problem in the presence of the observer gain perturbations for Lipschitz systems that are linear in the unknown parameters and nonlinear in the states. A nonlinear adaptive resilient observer is designed, and its stability conditions based on the Lyapunov technique are derived. The gain for this observer is derived systematically using the linear matrix inequality approach. A numerical example and a physical setup are provided to show the effectiveness of… Show more

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Cited by 29 publications
(14 citation statements)
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“…Lemma 2 [37]: Let X and Y be real vectors of the same dimension. Then, for any scalar ε > 0, the following inequality holds…”
Section: Fractional Derivativementioning
confidence: 99%
“…Lemma 2 [37]: Let X and Y be real vectors of the same dimension. Then, for any scalar ε > 0, the following inequality holds…”
Section: Fractional Derivativementioning
confidence: 99%
“…Lipschitz observer is a common non-linear system state observer and still has a good observation performance for strongly non-linear systems with noise disturbances. Specific design process of Lipschitz observer is characterized as follows (Rajamani 1998;Zemouche and Boutayeb 2013;Pourgholi and Majd 2011).…”
Section: Fast Loop Controller Designmentioning
confidence: 99%
“…L is obtained by transforming Riccati equation into the linear matrix inequality (LMI) problem (Pourgholi and Majd 2011).…”
Section: Lipschitz Adaptive Observer Designmentioning
confidence: 99%
“…To prove the theorem the following lemmas are used: Lemma 1: [31] Let X and Y be real vectors of the same dimension. Then, for any scalar ε > 0, the following inequality holds:…”
Section: Moreover the State T(t) Is Bounded By T(t)mentioning
confidence: 99%