Conference paper

Markov chain modeling of chaotic wandering in simple coupled chaotic circuits

In this study, chaotic wandering phenomenon observed in simple coupled chaotic circuits is modeled by Markov chains. As coupling parameter increases, the solution of the coupled chaotic circuits starts to wander chaotically over 6 different phase states which are stable for smaller value of the parameter. The wandering is modeled by a first order and sedond order Markov chains with the 6 states plus 3 intermediate states. Stationary probability function, expected sojourn time and probability density of sojourn time are calculated from transition probabilities. These statistical properties are compared with those obtained from computer simulations


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