作者: Qibing Jin , Jun Dou , Feng Ding , Liting Cao
DOI: 10.1016/J.MCM.2013.06.005
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摘要: Abstract To solve the problem caused by lack of structure nonlinearity in Wiener systems identification, we propose a new approach to identify linear part and nonlinear system sequence using limited information on nonlinearity. The is identified firstly based nonlinearity, such as sign information, monotonic then, construct internal signals parameters systems. A novel Particle Swarm Optimization–Rosenbrock (PSO–Rosenbrock) algorithm developed numerical simulation shows that identification procedure proposed this paper effective.