Synchronization-based nonlinear chaotic circuit identification

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Abstract
In this paper a new approach to the parameter identification of nonlinear dynamic circuits is proposed. It is based on the concept of synchronization of nonlinear circuits and, in particular, on the Pecora-Carroll system decomposition and cascaded synchronization techniques. Moreover, the new identification procedure is formulated as an optimization problem and it is faced via a genetic algorithm. The introduction algorithm is applied to the famous Chua's oscillator, known for its rich variety of chaotic dynamics and bifurcations. Some examples, referring to different attractors, are reported.

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