Abstract
Based on the Observer/Kalman filter Identification (OKID) and digital redesign of observer-based tracker method for a stochastic chaotic system. An additional digital redesign observer approach is now proposed to obtain a more accurate system identification model. Furthermore, this provides computationally effective initialization low-order observer parameters for the on-line nonlinear model system identification technique. Finally, the stochastic chaotic Chen's system is used as an illustrative example to demonstrate the effectiveness and excellence of the proposed methodology.
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