. . "Identifikace neline\u00E1rn\u00EDch syst\u00E9m\u016F neuronov\u00FDmi s\u00EDt\u011Bmi a jej\u00ED vyu\u017Eit\u00ED v n\u00E1vrhu adaptivn\u00EDho \u0159\u00EDzen\u00ED a detekce zm\u011Bn" . . . "system identification; neural networks; estimation; adaptive control"@en . . "6"^^ . "Nonlinear system identification by neural networks and its utilization in design of adaptive control and change detection"@en . "6"^^ . "0"^^ . "2015-03-20+01:00"^^ . "1"^^ . "http://www.isvav.cz/projectDetail.do?rowId=GP102/08/P080"^^ . " estimation" . . "Project is focused on identification of nonlinear systems by neural networks. A Multilayer perceptron network represents one of the most significant groups of the neural networks. An application of this type of the network contains nonlinear problems related to their nonlinear structure. It is especially choice of estimation method and setting of the neural network structure. Further, the project deals with using of the neural networks in design of functional adaptive control methods. An attantion isfocused mainly on an enhancement of the identification process and design of new control algorithms for SISO and MIMO systems based on dual control methods. The project concerns for design of new change detection methods with using the identification of nonlinear systems by the neural networks."@en . "system identification" . "0"^^ . . "The following results were attained in the field of nonlinear system identification using neural networks and their application in the task of control design and change detection:-A new technique for a neural network structure adaptation was designed and applied successfully in the functional control of one-dimensional and multi-dimensional stochastic systems, respectively.  -It was proposed"@en . . " neural networks" . . "GP102/08/P080" . "Projekt se v\u011Bnuje identifikaci neline\u00E1rn\u00EDch syst\u00E9m\u016F neuronov\u00FDmi s\u00EDt\u011Bmi. Nejv\u00FDznamn\u011Bj\u0161\u00ED skupinu neuronov\u00FDch s\u00EDt\u00ED p\u0159edstavuj\u00ED v\u00EDcevrstv\u00E9 perceptronov\u00E9 s\u00EDt\u011B. Aplikace toho typu neuronov\u00E9 s\u00EDt\u011B v identifikaci v\u0161ak p\u0159in\u00E1\u0161\u00ED probl\u00E9my souvisej\u00EDc\u00ED s jej\u00ED neline\u00E1rn\u00ED strukturou. Nejasn\u00E9 jsou p\u0159edev\u0161\u00EDm volba vhodn\u00E9 estima\u010Dn\u00ED metody pro odhad parametr\u016F s\u00EDt\u011B a stanoven\u00ED struktury s\u00EDt\u011B, tj. po\u010Det neuron\u016F a specifikace jejich propojen\u00ED. D\u00E1le se projekt v\u011Bnuje vyu\u017Eit\u00ED neuronov\u00FDch s\u00EDt\u00ED p\u0159i n\u00E1vrhu metod funkcion\u00E1ln\u00EDho adaptivn\u00EDho \u0159\u00EDzen\u00ED. Pozornost je zam\u011B\u0159ena p\u0159edev\u0161\u00EDm na zv\u00FD\u0161en\u00ED kvality identifika\u010Dn\u00EDho procesu vyu\u017E\u00EDvaj\u00EDc\u00EDch neuronov\u00E9 s\u00EDt\u011B a n\u00E1vrhu nov\u00FDch \u0159\u00EDd\u00EDc\u00EDch algoritm\u016F pro jednodimenzion\u00E1ln\u00ED i v\u00EDcedimenzion\u00E1ln\u00ED syst\u00E9my s vyu\u017Eit\u00EDm metod du\u00E1ln\u00EDho \u0159\u00EDzen\u00ED. Projekt se t\u00E9\u017E v\u011Bnuje n\u00E1vrhu nov\u00FDch metod detekce zm\u011Bn pro neline\u00E1rn\u00ED syst\u00E9my modelovan\u00FDch neuronovou s\u00EDt\u00ED." . . . "2008-01-01+01:00"^^ . . . "2010-12-31+01:00"^^ . "V r\u00E1mci \u0159e\u0161en\u00ED projektu tedy bylo dosa\u017Eeno n\u00E1sleduj\u00EDc\u00EDch v\u00FDsledk\u016F v oblasti identifikace neline\u00E1rn\u00EDch syst\u00E9m\u016F neuronov\u00FDmi s\u00EDt\u011Bmi a jej\u00ED vyu\u017Eit\u00ED v n\u00E1vrhu adaptivn\u00EDho \u0159\u00EDzen\u00ED a detekce zm\u011Bn: - Byla vyvinuta nov\u00E1 metoda vhodn\u00E1 pro pr\u016Fb\u011B\u017Enou adaptaci struktury neuronov\u00FDch s\u00EDt\u00ED. Navr\u017Een\u00E1 metoda bya \u00FAsp\u011B\u0161n\u011B aplikov\u00E1na v \u00FAloze funkcion\u00E1ln\u00EDho adaptivn\u00EDho \u0159\u00EDzen\u00ED jednodimenzion\u00E1ln\u00EDch i multidimenzion\u00E1ln\u00EDch"@cs . . . . . "2010-04-06+02:00"^^ . .