Abstract：A new identification method for Wiener-Hammerstein model in industrial large-scale systems is proposed.This method combines the decentralized identification of high accuracy advantages of the linear system identification with hybrid particle swarm optimization to solve the nonlinear,non-differentiable,and the complexity of the multi-peak strengths of the composite control,and using dynamic measurement methods in metrology,simulation model of the dynamic measurement is built.Simulation and experimental results show that the application of this method is very effective in the nonlinear distributed parameter systems, and can improve the accuracy of the identification.
白克强. 基于Wiener-Hammerstein模型的一种系统辨识方法[J]. 计量学报, 2012, 33(4): 360-363.
BAI Ke-qiang. A System Identification Method Based on the Wiener-Hammerstein Model. Acta Metrologica Sinica, 2012, 33(4): 360-363.
［1］薛振框,李少远.MIMO非线性系统的多模型建模方法［J］.电子学报,2005,33(1):52-56.
［2］曹少中,刘贺平,涂序彦.随机非线性系统自由状态方程的任意阶近似解［J］.电子学报,2008,36(4):785-788.
［3］胡钋,陈允平.多项式非线性系统多频输入稳态响应的计算［J］.电子学报,2007,35(2):315-319.
［4］柯 晶,姜 静,乔谊正.应用混合进化策略辨识Wiener/Hammerstein模型［J］.系统工程与电子技术,2006,28(7):1055-1058.
［5］Bershad N J,Bouchired S,Castanie F.Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for gaussian inputs［J］.IEEE Trans on Signal Processing,2000,48(2):557-560.
［6］刘知贵,蒲洁,黄正良.非线性大工业过程稳态模型的强一致性分析［J］.电子科技大学学报,2004,33(3):273-277.
［7］BrdyS′ M, Chen S, Roberts P D. An extension to the modified two-step algorithm for steady-state system optimization and parameter estimation［J］.Int J systems Sci,1986,17（8）:1229-1243.
［8］徐小平,钱富才,王峰.一种辨识Wiener-Hammerstein模型的新方法［J］.控制与决策,2008,23(8):929-934.
［9］王峰,邢科义,徐小平.非线性动态系统建模方法研究［J］.计算机工程与应用,2009,45(10):7-10.
［10］毛宏宇,杨光,王文良,等.综合自动测试设备动态计量方法［J］.吉林大学学报(工学版),2010,40(1):119-122.
2012, Vol. 33 
