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Received:September 19, 2005Revised:November 27, 2006 |
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A simplified NARMAX method using nonlinear input-output data |
Jie CHEN, Sheng FENG |
(School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;China Institute No. 23 of Second Academy, China Aerospace Science and Industry Corporation, Beijing 100854, China) |
Abstract: |
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. |
Key words: System identification Nonlinear system ARMA models Parameter estimation |