"The goal of this project consists in design of algorithms for analysis of systems with parametric uncertainty and synthesis of controllers for these systems from the stability point of view. The interest will be focused especially on systems with multilinear and polynomic parameter dependency that occur in practical applications most frequently and offer the space for improving old and developing new algorithms. Both parameters lying in multidimensional cube and parameters lying in multidimensional ellipsoids will be taken into account. The developed algorithms will be implemented in programming environment Matlab and their reliability and efficiency will be compared with the algorithms well-known from literature on benchmark examples. Some of them will be applied on models of dynamical systems in laboratory of theory of automatic control. The another effort will be the application of developed algorithms in analysis and synthesis of Takagi-Sugeno fuzzy systems very often"@en . . . . . . "C\u00EDlem projektu je n\u00E1vrh algoritm\u016F pro anal\u00FDzu syst\u00E9m\u016F s parametrickou neur\u010Ditost\u00ED a synt\u00E9zu regul\u00E1tor\u016F pro tyto syst\u00E9my z hlediska zachov\u00E1n\u00ED stability. Z\u00E1jem bude soust\u0159ed\u011Bn p\u0159edev\u0161\u00EDm na syst\u00E9my s multiline\u00E1rn\u00ED a polynomickou strukturou neur\u010Ditosti, kter\u00E9 se v praktick\u00FDch aplikac\u00EDch vyskytuj\u00ED nej\u010Dast\u011Bji a poskytuj\u00ED prostor pro zdokonalov\u00E1n\u00ED star\u00FDch a vyv\u00EDjen\u00ED nov\u00FDch algoritm\u016F. V \u00FAvahu budou br\u00E1ny jak parametry le\u017E\u00EDc\u00ED ve v\u00EDcerozm\u011Brn\u00E9m kv\u00E1dru tak ve v\u00EDcerozm\u011Brn\u00E9m elipsoidu. Navr\u017Een\u00E9 algoritmy budou implementov\u00E1ny v programov\u00E9m prost\u0159ed\u00ED Matlab a jejich spolehlivost a efektivita bude porovn\u00E1na s ji\u017E zn\u00E1m\u00FDmi algoritmy na typick\u00FDch p\u0159\u00EDkladech citovan\u00FDch v odborn\u00E9 literatu\u0159e. N\u011Bkter\u00E9 z nich budou rovn\u011B\u017E vyzkou\u0161eny na modelech dynamick\u00FDch syst\u00E9m\u016F nach\u00E1zej\u00EDc\u00EDch se v laborato\u0159i teorie automatick\u00E9ho \u0159\u00EDzen\u00ED na pracovi\u0161ti navrhovatele. Dal\u0161\u00ED snahou bude aplikace t\u011Bchto algoritm\u016F p\u0159i anal\u00FDze a synt\u00E9ze v posledn\u00ED dob\u011B \u010Dasto pou\u017E\u00EDvan\u00FDch Takagi-Sugeno fuzzy syst\u00E9m\u016F a modelov\u00E1n\u00ED line\u00E1rn\u00EDch syst\u00E9m\u016F s" . "Algorithms for Analysis and Synthesis of Systems with Parametric Uncertainty"@en . . "1. Byly navr\u017Eeny nov\u00E9 algoritmy pro anal\u00FDzu line\u00E1rn\u00EDch syst\u00E9m\u016F s polynomickou z\u00E1vislost\u00ED koeficient\u016F na parametrech syst\u00E9mu. Tyto algoritmy podstatn\u011B urychlily \u010Das pot\u0159ebn\u00FD k v\u00FDpo\u010Dtu a roz\u0161\u00ED\u0159ily mno\u017Einu testovateln\u00FDch polynom\u016F co se t\u00FD\u010De \u0159\u00E1du a po\u010Dtu par"@cs . "1. New algorithms for analysis and synthesis of linear systems with polynomic dependency of the coefficients on the parameters of the system were proposed. These algorithms speeded up the calculation time and extended the set of polynomials that can be t"@en . "12"^^ . . . . "12"^^ . . "1"^^ . . "Neuvedeno."@en . . "0"^^ . "2007-10-16+02:00"^^ . "http://www.isvav.cz/projectDetail.do?rowId=GP102/04/P050"^^ . . "0"^^ . . . . . . . "Algoritmy pro anal\u00FDzu a synt\u00E9zu syst\u00E9m\u016F s parametrickou neur\u010Ditost\u00ED" . "GP102/04/P050" .