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

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.