JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Adaptive States Feedback Control of Unknown Dynamics Systems Using Support Vector Machines |
| 영문제목(English Title) |
Adaptive States Feedback Control of Unknown Dynamics Systems Using Support Vector Machines |
| 저자(Author) |
Fa-Guang Wang
Min-Chan Kim
Seung-Kyu Park
Gun-Pyong Kwak
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| 원문수록처(Citation) |
VOL 06 NO. 03 PP. 0310 ~ 0314 (2008. 09) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper proposes a very novel method which makes it possible that state feedback controller can be designed for unknown dynamic system with measurable states. This novel method uses the support vector machines (SVM) with its function approximation property. It works together with RLS (Recursive least-squares) algorithm. The RLS algorithm is used for the identification of input-output relationship. A virtual state space representation is derived from the relationship and the SVM makes the relationship between actual states and virtual states. A state feedback controller can be designed based on the virtual system and the SVM makes the controller with actual states. The results of this paper can give many opportunities that the state feedback control can be applied for unknown dynamic systems. |
| 키워드(Keyword) |
Recursive Least Squares Algorithm
State Feedback Controller
Support Vector Machines
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| 파일첨부 |
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