"Decentralizovan\u00E9 adaptivn\u00ED \u0159\u00EDzen\u00ED"@cs . "415938" . "1"^^ . "P\u0159edkl\u00E1dan\u00E1 diserta\u010Dn\u00ED pr\u00E1ce se zab\u00FDv\u00E1 decentralizovan\u00FDm adaptivn\u00EDm \u0159\u00EDzen\u00EDm mnohorozm\u011Brov\u00FDch soustav se stejn\u00FDm po\u010Dtem vstup\u016F a v\u00FDstup\u016F. Hlavn\u00ED \u010D\u00E1st\u00ED pr\u00E1ce je n\u00E1vrh algoritmu decentralizovan\u00E9ho \u0159\u00EDzen\u00ED. Decentralizovan\u00E9 \u0159\u00EDzen\u00ED je jedn\u00EDm z nejpou\u017E\u00EDvan\u011Bj\u0161\u00EDch postup\u016F v praxi p\u0159i \u0159\u00EDzen\u00ED mnohorozm\u011Brov\u00FDch soustav. D\u016Fvodem \u010Dast\u00E9ho nasazen\u00ED v praxi je jeho jednoduch\u00E1 implementace. P\u0159edkl\u00E1dan\u00FD algoritmus je zalo\u017Een na p\u0159ep\u00EDn\u00E1n\u00ED nastavov\u00E1n\u00ED s vyu\u017Eit\u00EDm supervisora b\u011Bhem regulace a p\u0159edidentifikaci. P\u0159edidentifikace se prov\u00E1d\u00ED rekurzivn\u00EDmi metodami. Po p\u0159edidentifikaci dojde k automatick\u00E9mu v\u00FDb\u011Bru nejvhodn\u011Bj\u0161\u00ED metody rekurzivn\u00ED identifikace pro nasazen\u00ED u samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDho regul\u00E1toru b\u011Bhem regulace. Hlavn\u00EDm d\u016Fvodem pro vznik nov\u00E9 metody decentralizovan\u00E9ho \u0159\u00EDzen\u00ED byl n\u00E1m\u011Bt vytvo\u0159it algoritmus supervisora pro nasazen\u00ED v kombinaci se samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDmi regul\u00E1tory. Navr\u017Een\u00FD algoritmus decentralizovan\u00E9ho \u0159\u00EDzen\u00ED byl ov\u011B\u0159en simula\u010Dn\u011B a na laboratorn\u00EDm modelu a to za r\u016Fzn\u00FDch podm\u00EDnek. Simula\u010Dn\u011B byl" . "Decentralized adaptive control"@en . "The thesis deals with decentralized adaptive control of multivariable systems with the same number of inputs and outputs. The originally proposed algorithm of decentralized control is the key feature of the thesis. It is due to the massive usage of decentralized control applied on multivariable systems in practice. The simple implementation of this approach is the main reason why it is so commonly used. The proposed algorithm is based on switching of controllers' tuning phase using the supervisor and on the pre-identification. The pre-identification is realized by recursive methods. When the pre-identification was done, the automatic selection of the most suitable method of recursive identification is realized. The idea of combination of self-tuning controllers together with the new algorithm of supervisor was the main reason of proposal of the original method of decentralized control. The proposed algorithm of decentralized control was verified by simulation and at the laboratory model unde"@en . "1"^^ . . "Decentralizovan\u00E9 adaptivn\u00ED \u0159\u00EDzen\u00ED" . "Per\u016Ftka, Karel" . "28140" . . "RIV/70883521:28140/07:63505917" . . "Decentralizovan\u00E9 adaptivn\u00ED \u0159\u00EDzen\u00ED" . . . . . "Adaptive control; decentralized control; supervisory control."@en . "Decentralizovan\u00E9 adaptivn\u00ED \u0159\u00EDzen\u00ED"@cs . "Decentralized adaptive control"@en . . . . "S" . "[BFBAC8733BD4]" . . . . "P\u0159edkl\u00E1dan\u00E1 diserta\u010Dn\u00ED pr\u00E1ce se zab\u00FDv\u00E1 decentralizovan\u00FDm adaptivn\u00EDm \u0159\u00EDzen\u00EDm mnohorozm\u011Brov\u00FDch soustav se stejn\u00FDm po\u010Dtem vstup\u016F a v\u00FDstup\u016F. Hlavn\u00ED \u010D\u00E1st\u00ED pr\u00E1ce je n\u00E1vrh algoritmu decentralizovan\u00E9ho \u0159\u00EDzen\u00ED. Decentralizovan\u00E9 \u0159\u00EDzen\u00ED je jedn\u00EDm z nejpou\u017E\u00EDvan\u011Bj\u0161\u00EDch postup\u016F v praxi p\u0159i \u0159\u00EDzen\u00ED mnohorozm\u011Brov\u00FDch soustav. D\u016Fvodem \u010Dast\u00E9ho nasazen\u00ED v praxi je jeho jednoduch\u00E1 implementace. P\u0159edkl\u00E1dan\u00FD algoritmus je zalo\u017Een na p\u0159ep\u00EDn\u00E1n\u00ED nastavov\u00E1n\u00ED s vyu\u017Eit\u00EDm supervisora b\u011Bhem regulace a p\u0159edidentifikaci. P\u0159edidentifikace se prov\u00E1d\u00ED rekurzivn\u00EDmi metodami. Po p\u0159edidentifikaci dojde k automatick\u00E9mu v\u00FDb\u011Bru nejvhodn\u011Bj\u0161\u00ED metody rekurzivn\u00ED identifikace pro nasazen\u00ED u samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDho regul\u00E1toru b\u011Bhem regulace. Hlavn\u00EDm d\u016Fvodem pro vznik nov\u00E9 metody decentralizovan\u00E9ho \u0159\u00EDzen\u00ED byl n\u00E1m\u011Bt vytvo\u0159it algoritmus supervisora pro nasazen\u00ED v kombinaci se samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDmi regul\u00E1tory. Navr\u017Een\u00FD algoritmus decentralizovan\u00E9ho \u0159\u00EDzen\u00ED byl ov\u011B\u0159en simula\u010Dn\u011B a na laboratorn\u00EDm modelu a to za r\u016Fzn\u00FDch podm\u00EDnek. Simula\u010Dn\u011B byl"@cs . "RIV/70883521:28140/07:63505917!RIV08-MSM-28140___" . .