A simplified NARMAX method using nonlinear input-output data
Jie CHEN
Sheng FENG
摘要：A system identification method for nonlinear systems with unknown structure is presented using short input-output data. The method simplifies the original NARMAX method. It introduces more general model structures for nonlinear systems. The group method of data handling (GMDH) method is employed to obtain the model terms and parameters. Effectiveness of the proposed method is illustrated by a typical nonlinear system with unknown structure and deficient input-output data.
机标关键词：nonlinear systemssystem identification methodgeneral modeldata handlingmethod of
分类号：TP3(计算技术、计算机技术)
资助基金：the Teaching and Research Award Program for Outstanding Young Teacher in Higher Education Institute of MOE,P.R.China(20010248)
论文发表日期：2007-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：5( 261-265 )
英文信息