Abstract
This paper explores a selection method of the design parameter introduced in the extended Generalized Minimum Variance Control (GMVC) based on state space approach by using a genetic algorithm. Its parameter can design the controller poles to be stable without changing the closed-loop poles. That is, a strongly stable system can be obtained. And the genetic algorithm is applied to calculate the design parameter and give the stable controller poles.
| Original language | English |
|---|---|
| Pages (from-to) | 4183-4194 |
| Number of pages | 12 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 7 |
| Issue number | 7 B |
| Publication status | Published - Jul 2011 |
| Externally published | Yes |
Keywords
- Coprime factorization
- Generalized minimum variance control
- Genetic algorithm
- State space
- Strongly stable
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Information Systems
- Computational Theory and Mathematics