A multivariable model reference adaptive control system (MRACS) design method for a plant with m inputs and p outputs is proposed (m/spl ne/p). Using an interactor matrix the coprime factorization of the plant for (1) m>p case, and (2) m
en-copyright= kn-copyright= en-aut-name=InoueAkira en-aut-sei=Inoue en-aut-mei=Akira kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=MasudaShiro en-aut-sei=Masuda en-aut-mei=Shiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=KroumovValeri T. en-aut-sei=Kroumov en-aut-mei=Valeri T. kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=SugimotoKenji en-aut-sei=Sugimoto en-aut-mei=Kenji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University affil-num=3 en-affil= kn-affil=Okayama University affil-num=4 en-affil= kn-affil=Okayama University en-keyword=adaptive control kn-keyword=adaptive control en-keyword=control system synthesis kn-keyword=control system synthesis en-keyword=matrix algebra kn-keyword=matrix algebra en-keyword=model reference adaptive control systems kn-keyword=model reference adaptive control systems en-keyword=multivariable control systems kn-keyword=multivariable control systems END start-ver=1.4 cd-journal=joma no-vol=1 cd-vols= no-issue= article-no= start-page=652 end-page=656 dt-received= dt-revised= dt-accepted= dt-pub-year=1999 dt-pub=19996 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=A design of a strongly stable generalized predictive control using coprime factorization approach en-subtitle= kn-subtitle= en-abstract= kn-abstract=This paper proposes a new generalized predictive control (GPC) having new design parameters. In selecting the design parameters, the controller becomes a strongly stable GPC, that is, not only the closed-loop system is stable, but also the controller itself is stable. The parameters are introduced by applying the coprime factorization approach and comparing Youla parametrization of stabilizing compensators to the controller by the standard GPC
en-copyright= kn-copyright= en-aut-name=InoueAkira en-aut-sei=Inoue en-aut-mei=Akira kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=YanouAkira en-aut-sei=Yanou en-aut-mei=Akira kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=HirashimaYoichi en-aut-sei=Hirashima en-aut-mei=Yoichi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= affil-num=1 en-affil= kn-affil=Okayama University affil-num=2 en-affil= kn-affil=Okayama University affil-num=3 en-affil= kn-affil=Okayama University en-keyword=closed loop systems kn-keyword=closed loop systems en-keyword=control system synthesis kn-keyword=control system synthesis en-keyword=matrix algebra kn-keyword=matrix algebra en-keyword=predictive control kn-keyword=predictive control en-keyword=stability kn-keyword=stability END