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In the proposed paper the simulation studies has been carried out for the different nonlinear systems and nonlinear chaotic systems. The fractional order based modeling of the chaotic system will be carried out first. Using the MATLAB® the ANFIS commands has been developed for the identification of nonlinear and nonlinear chaotic system. Then it has been proposed to compare all the output of circuit...
According to chaotic characteristics, a method for studying on chaos by using Poincare sections is proposed. The method can study on sensitivity to parameters and initial conditions for chaotic system. A lot of experiments based on Chua's chaotic circuit have been done. The simulation results demonstrate the effectiveness of this method.
This paper describes a learning theory of the CNN based on the covariance structure analysis using new numerical integral methods. In general, a Cellular Neural Network (CNN) is defined as a local connected circuit which has continuous state variables x ??Rn. The importance is in that the piece-wise linear function of the CNN has a linear region |x| ?? 1 for x ?? x because the learning method can...
Based on a PWL memristor, Chua's circuit is modified through element replacement, simulation results demonstrated that chaos attractor can be generated in the modified Chua's circuit.
This paper considers the output synchronization of the Chuapsilas circuit and the Van der Pol system. We first reformulate the problem as a robust output regulation problem with the Chuapsilas circuit as the plant and the Van del Pol system as the exosystem and then solve the robust output regulation problem via internal model approach. Effectiveness of the approach will be evaluated by computer simulation.
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