Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.07d
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- Pages.2690-2692
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- 2000
A Study on Robust Identification Based on the Validation Evaluation of Model
모델의 타당성 평가에 기초한 로바스트 동정에 관한 연구
- Lee, Dong-Cheol (Dept. of Electrical Pukyong National University) ;
- Chung, Hyung-Hwan (Dept. of Electrical Dong-A University) ;
- Bae, Jong-Il (Dept. of Electrical Pukyong National University)
- Published : 2000.07.17
Abstract
In order to design a stable robust controller, nominal model, and the upper bound about the uncertainty which is the error of the model are needed. The problem to estimate the nominal model of controlled system and the upper bound of uncertainty at the same time is called robust identifcation. When the nominal model of controlled system and the upper bound of uncertainty in relation to robust identifcation are given, the evaluation of the validity of the model and the upper bound makes it possible to distinguish whether there is a model which explains observation data including disturbance among the model set. This paper suggests a method to identify the uncertainty which removes disturbance and expounds observation data by giving a probable postulation and plural data set to disturbance. It also examines the suggested method through a numerical computation simulation and validates its effectiveness.
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