A simplified NARMAX method using nonlinear input-output data  

作　　者：Jie CHEN Sheng FENG 

机构地区：[1]School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China [2]China Institute No. 23 of Second Academy, China Aerospace Science and Industry Corporation, Beijing 100854, China

出　　处：《控制理论与应用（英文版）》2007年第3期261-265,共5页

基　　金：This work was supported by the Teaching and Research Award Program for Outstanding Young Teacher in Higher Education Institute of MOE,P.R.China (NO. 20010248)

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.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.

关 键 词：System identification Nonlinear system ARMA models Parameter estimation 

分 类 号：N945.14[自然科学总论—系统科学]