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A Design Method of Extended Generalized Minimum Variance Control Based on State Space Approach by Using a Genetic Algorithm

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3 Author(s)
Yanou, A. ; Fac. of Eng., Okayama Univ., Okayama, Japan ; Mingcong Deng ; Inoue, A.

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. The extended controller has a new design parameter which can design the controller poles without changing the closed-loop poles, and the genetic algorithm is applied to find the new design parameter and select the controller poles.

Published in:

Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on

Date of Conference:

7-9 Dec. 2009

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