2010
DOI: 10.1007/s11071-010-9813-4
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Observer-based synchronization scheme for a class of chaotic systems using contraction theory

Abstract: In this paper, an adaptive synchronization scheme is proposed for a class of nonlinear systems. The design utilizes an adaptive observer, which is quite useful in establishing a transmitter-receiver kind of synchronization scheme. The proposed approach is based on contraction theory and provides a very simple way of establishing exponential convergence of observer states to actual system states. The class of systems addressed here has uncertain parameters, associated with the part of system dynamics that is a … Show more

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Cited by 62 publications
(16 citation statements)
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“…The following Lemma is used to analyze the convergence of observer states to actual system states and taken from [16]. Lemma 2.If a virtual system defined for actual system and observer system along with parameter adaptationlaw, then incremental behaviour in terms of virtual displacement could be represented in matrix form as…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…The following Lemma is used to analyze the convergence of observer states to actual system states and taken from [16]. Lemma 2.If a virtual system defined for actual system and observer system along with parameter adaptationlaw, then incremental behaviour in terms of virtual displacement could be represented in matrix form as…”
Section: Preliminariesmentioning
confidence: 99%
“…And the output of the virtual system is given by (16) Now using the definition of Φ and yy in virtual system (15) and defining the virtual displacement Φ as…”
Section: Iii1 Observer Design For Chaotic Lorenz System For Without mentioning
confidence: 99%
“…Adaptive feedback control design method, where controller parameters are assumed to be unknown and are evolved using adaptation laws so as to achieve synchronization was presented in [4]. The contraction theory for the adaptive synchronization was used in [5]. The adaptive synchronization and parameters identification of uncertain Rössler hyperchaotic system were presented in [6].…”
Section: Introductionmentioning
confidence: 99%
“…These chaotic and/or hyperchaotic systems show different dynamical properties. So far, various types of synchronization phenomenon have been found such as functional synchronization [2], complete synchronization [3], observer based synchronization [4], phase synchronization [5], generalized synchronization [6], anti-synchronization [7][8][9], distributed synchronization [10], robust synchronization [11], and projective synchronization [12,13]. Transition of synchronization [14][15][16][17][18] induced in the chaotic systems has been explored extensively.…”
Section: Introductionmentioning
confidence: 99%