Stochastic/Adaptive Sliding Mode Observer for Noisy Excessive Uncertainties Nonlinear Systems

نویسندگان

  • Reza Raoufi
  • Hamid Khaloozadeh
چکیده

Abstract: A robust/adaptive stochastic observer is presented for stochastic nonlinear dynamics having excessive uncertainties. It was shown through a new theorem that the proposed nonlinear robust sliding mode observer has very accurate state estimate error characteristic. The observer uses the sliding mode technique for the robustness and a deterministic adaptive law to guarantees a globally asymptotically convergence observation error. Finally, an example is given to illustrate the application and very favorable convergence properties of the proposed observer.

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تاریخ انتشار 2004