Abstract
This paper proposes a design scheme of generalized minimum variance control (GMVC) having a new design parameter. The design parameter is introduced by applying coprime factorization approach and Youla-Kucera parameterization of stabilizing compensators to a generalized minimum variance controller. And it is selected by using a genetic algorithm so that the controller is designed to be stable. Therefore the proposed method gives a strongly stable system, that is, not only the closed-loop system is stable, but also the controller itself is stable.
| Original language | English |
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| Title of host publication | ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings |
| Pages | 1300-1304 |
| Number of pages | 5 |
| Publication status | Published - Dec 1 2009 |
| Event | ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan Duration: Aug 18 2009 → Aug 21 2009 |
Publication series
| Name | ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings |
|---|
Other
| Other | ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 |
|---|---|
| Country | Japan |
| City | Fukuoka |
| Period | 8/18/09 → 8/21/09 |
Keywords
- Coprime factorization
- Generalized minimum variance control
- Genetic algorithm
- Strongly stable
ASJC Scopus subject areas
- Information Systems
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
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Cite this
Yanou, A., Deng, M., & Inoue, A. (2009). A design of a strongly stable generalized minimum variance control using a genetic algorithm. In ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings (pp. 1300-1304). [5335218] (ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings).