. . "1" . . "Zl\u00EDn" . . . "Vyu\u017Eit\u00ED delta model\u016F pro \u0159\u00EDzen\u00ED proces\u016F" . . . . . "145"^^ . "Univerzita Tom\u00E1\u0161e Bati ve Zl\u00EDn\u011B" . "Using delta models in process control"@en . "P(GA102/00/0526), P(GA102/99/1292), Z(MSM 281100001)" . . "145"^^ . . "701440" . "Vyu\u017Eit\u00ED delta model\u016F pro \u0159\u00EDzen\u00ED proces\u016F"@cs . . "Using delta models in process control"@en . . . . "Sysel, Martin" . "28110" . "Tato pr\u00E1ce popisuje vyu\u017Eit\u00ED delta model\u016F pro adaptivn\u00ED \u0159\u00EDzen\u00ED. V teoretick\u00E9 \u010D\u00E1sti byly pops\u00E1ny delta modely, statick\u00E9 a dynamick\u00E9 vlastnosti soustav vych\u00E1zej\u00EDc\u00EDch z delta model\u016F, navr\u017Eeny algoritmy pr\u016Fb\u011B\u017En\u00E9 identifikace dynamick\u00E9ho syst\u00E9mu popsan\u00E9ho delta modelem. D\u00E1le byly navr\u017Eeny algoritmy v\u00FDpo\u010Dtu samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDch regul\u00E1tor\u016F metodou Ziegler-Nicholse a metodou p\u0159i\u0159azen\u00ED p\u00F3l\u016F pro adaptivn\u00ED \u0159\u00EDzen\u00ED, kter\u00E9 byly ov\u011B\u0159eny simula\u010Dn\u011B i v laboratorn\u00EDch podm\u00EDnk\u00E1ch. Nov\u011B navr\u017Een\u00E1 metoda hybridn\u00ED regulace, kter\u00E1 vych\u00E1z\u00ED ze spojen\u00ED pr\u016Fb\u011B\u017En\u00E9 delta identifikace a spojit\u00E9 synt\u00E9zy regul\u00E1toru, rovn\u011B\u017E prok\u00E1zala dobrou schopnost regulace pro men\u0161\u00ED periody vzorkov\u00E1n\u00ED. V experiment\u00E1ln\u00ED \u010D\u00E1sti byl v programov\u00E9m prost\u0159ed\u00ED Matlab vytvo\u0159en soubor program\u016F pro pr\u016Fb\u011B\u017Enou identifikaci a adaptivn\u00ED PID regulaci, kter\u00E9 umo\u017E\u0148uj\u00ED simulaci i adaptivn\u00ED \u0159\u00EDzen\u00ED re\u00E1ln\u00E9 soustavy popsan\u00E9 delta modelem. Funk\u010Dnost navr\u017Een\u00FDch regul\u00E1tor\u016F byla ov\u011B\u0159ena simula\u010Dn\u011B na zvolen\u00E9 soustav\u011B a tak\u00E9 na dvou laboratorn\u00EDch modelech, nam\u011B\u0159en\u00E9 v\u00FDsledky" . "Vyu\u017Eit\u00ED delta model\u016F pro \u0159\u00EDzen\u00ED proces\u016F" . "0"^^ . "1"^^ . . "0"^^ . "This work describes using of delta models for adaptive control. In the theoretic part were described delta models, static and dynamic characteristics of systems outgoing from delta models, the algorithms of recursive identification of dynamic system described by delta models were designed. Next were designed algorithms of self-tuning controllers by method ZIEGLER-NICHOLS and methods using pole assignment for adaptive control, which was checked by computer and in laboratory conditions. New designed method of hybrid control, which go out from integration of recursive delta identification and connected continuous controller give as good behaviour of output for smaller periods sampling. In experimental part was in MATLAB created software package for recursive identification and adaptive PID control, which make possible simulation and adaptive control of real system described by delta model. Functionality of designed controllers was checked on two laboratory models as well as on computer, measured results"@en . "1"^^ . "Vyu\u017Eit\u00ED delta model\u016F pro \u0159\u00EDzen\u00ED proces\u016F"@cs . "[11C1E234BA91]" . "RIV/70883521:28110/01:00000071" . . "Self-Tuning Controllers, delta models, identification"@en . "Vyu\u017Eit\u00ED delta model\u016F pro \u0159\u00EDzen\u00ED proces\u016F" . . "RIV/70883521:28110/01:00000071!RIV/2002/GA0/281102/N" .