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A Design of a Strongly Stable Generalized Minimum Variance Control Using a Genetic Algorithm
Akira YANOU,Mingcong DENG,Akira INOUE 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
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.
Operator based Nonlinear Control for Nonlinear Plants with Time-delays
Mingcong Deng,Shuhui Bi,Akira Yanou,Akira Inoue 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, operator based robust nonlinear control for nonlinear plants with time-delays is considered by using robust right coprime factorization approach. That is, based on internal model control (IMC) and a delay compensating method, operator based nonlinear control systems are designed, and sufficient conditions for the designed feedback control systems are obtained. Based on the conditions, robust stability of the nonlinear systems is ensured and output tracking performance is also realized. A simulation example is given to support the proposed design scheme.