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This paper considers the problem of adaptive synchronization and parameter identification of an uncertain chaotic oscillator.
In this paper, we investigate the synchronization and parameter identification of chaotic system with unknown parameters and mixed delays.
We exploit the close link between mathematical modelling, structural identifiability analysis, synchronization, and parameter estimation to obtain biological insights into the system modelled.
In this paper we deal with the synchronization and parameter estimations of an uncertain Rikitake system and its application in secure communications employing chaotic parameter modulation.
In this paper, we study hybrid synchronization and parameter identification of uncertain interacted networks and investigate inner synchronization and outer synchronization between these two networks.
To achieve system synchronization and parameter convergence, there are two general approaches based on the typical Lyapunov's direct method [2 9] or LaSalle's principle [10].
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In this paper, adaptive impulsive synchronization and parameters estimation of chaotic systems only by using discontinuous drive signals are investigated.
Chaos synchronization and parameters identification of single time scale brushless dc motors are studied in this paper.
For two different chaotic systems, which have the drive system with unknown parameters and the response system with known parameters, a unified mathematical expression for the controller and adaptive laws of parameters is proposed to realize complete synchronization and parameters estimation.
Noise plays an important role in synchronization and parameters identification of dynamical systems.
We also demonstrate the mean convergence of synchronization and parameters identification under the influence of noise.
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