Identification of Wiener model based on adaptive cloud model particle swarm optimization algorithm
Wenjin Wu · Jisuanji yingyong yanjiu · 2012
To identify the nonlinear system Wiener model,this paper put forward a new method based on adaptive cloud model particle swarm optimization(ACMPSO) algorithm,which introduced cloud model algorithm into the convergence process of PSO algorithm.The ACMPSO algorithm realized excellent particles'genetic and evolutional operation,adjusted cloud model's parameters according to evolutionary status and controled the search range and accuracy adaptively,therefore ACMPSO had better performance in global search and local optimization.The simulations prove the ACMPSO has better optimization perfor-mance than the other main PSOs.And this paper provided a numerical simulation of Wiener model to prove the method has better identify performance than the other methods.