Abstract

This paper deals with the parameter identification of Wiener model with discontinuous nonlinear. The arameter identification problemis converted to an optimal problem ith a suitable objective function. A hybrid optimal method, which integrates the Nelder-Mead simplex search and particle swarm optimization (NM-PSO), is used to optimize the objective function. The hybrid optimal method NM-PSO can get obtain the global optimal solution with fast convergent rate. Two illustrative examples are included to emonstrate the effectiveness and feasible of the proposed identification method

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