Gradient-based iterative identification for MISO Wiener nonlinear systems: Application to a glutamate fermentation process

作     者：Zhou, Lincheng Li, Xiangli Pan, Feng 

作者机构：Jiangnan Univ Key Lab Adv Proc Control Light Ind Minist Educ Wuxi 214122 Peoples R China 

出 版 物：《APPLIED MATHEMATICS LETTERS》 (应用数学快报)

年 卷 期：2013年第26卷第8期

页      面：886-892页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学] 

基　　金：National Natural Science Foundation of China University Graduate Scientific Research Innovation Program of Jiangsu Province [CXLX12_0722] Ph.D. Candidate Scientific Research Foundation of Jiangnan University [JUDCF11042] 111 Project [B12018] PAPD of Jiangsu Higher Education Institutions 

主　　题：System modeling Parameter estimation Wiener nonlinear systems Multiple-input single-output system Gradient-based iteration Glutamate fermentation process 

摘      要：This paper deals with modeling and parameter identification of multiple-input single-output Wiener nonlinear systems. The basic idea is to construct a multiple-input single-output Wiener nonlinear model and to derive the gradient-based iterative algorithm for the proposed model. The proposed method has been applied to identify the parameters of a glutamate fermentation process. The results of real data simulation show that this method is effective. (C) 2013 Elsevier Ltd. All rights reserved.