A Multiple Model Approach to Modeling Based on LPF Algorithm

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A Multiple Model Approach to Modeling Based on

LPF Algorithm

佚名

【期刊名称】《系统工程与电子技术（英文版）》【年(卷),期】2001(012)003

【摘要】Input-output data fitting methods are often used for unknown-structure nonlinear system modeling. Based on model-on-demand tactics, a multiple model approach to modeling for nonlinear systems is presented. The basic idea is to find out, from vast historical system input-output data sets, some data sets matching with the current working point, then to develop a local model using Local Polynomial Fitting (LPF) algorithm. With the change of working points, multiple local models are built, which realize the exact modeling for the global system. By comparing to other methods, the simulation results show good performance for its simple, effective and reliable estimation.`` 【总页数】7页(64-70)

【关键词】Non-linear systems;Multiple models;LPF algorithm;Model-on-demand 【作者】佚名

【作者单位】Institute of Automation, Shanghai Jiaotong University, 200030, P. R. China;Institute of Automation, Shanghai Jiaotong University, 200030, P. R. China;Institute of Automation, Shanghai

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