"Ostrava" . "Neural Network Based Model Parameter Estimation in Self-Tuning Controllers"@en . "488394" . . . "4"^^ . "RIV/00216305:26220/06:PU58708" . "Neural Network Based Model Parameter Estimation in Self-Tuning Controllers"@en . . "80-248-1066-2" . "1"^^ . "Va\u0148kov\u00E1, Mark\u00E9ta" . . . "Neural Network Based Model Parameter Estimation in Self-Tuning Controllers" . . "593-596" . . . "Neural Network Based Model Parameter Estimation in Self-Tuning Controllers" . . "Odhad parametr\u016F modelu procesu pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B v samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDch regul\u00E1torech"@cs . "1"^^ . "This paper deals with problems connected with identification in adaptive control. The classic recursive identification algorithms versus new approach based on neural networks are discussed. The identification algorithms are compared in practical example. The simplified neural network for linear model parameters estimation suitable for real process identification is introduced." . "P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 problematikou spojenou s identifikac\u00ED v adaptivn\u00EDm \u0159\u00EDzen\u00ED. V\u011Bnuje se klasick\u00FDm rekurzivn\u00EDm identifika\u010Dn\u00EDm algoritm\u016Fm a nov\u00E9mu p\u0159\u00EDstupu zalo\u017Een\u00E9mu na neuronov\u00FDch s\u00EDt\u00EDch. Tyto identifika\u010Dn\u00ED algoritmy jsou porovn\u00E1ny na praktick\u00E9m p\u0159\u00EDklady. Je p\u0159edstavena i jednoduch\u00E1 neuronov\u00E1 s\u00ED\u0165 pro odhad parametr\u016F modelu vhodn\u00E1 pro identifikaci re\u00E1ln\u00FDch proces\u016F."@cs . "Vysok\u00E1 \u0161kola b\u00E1\u0148sk\u00E1 - Technick\u00E1 univerzita Ostrava" . "2006-05-29+02:00"^^ . . . "self-tuning controller, neural network, identification, parameter estimation"@en . . . "This paper deals with problems connected with identification in adaptive control. The classic recursive identification algorithms versus new approach based on neural networks are discussed. The identification algorithms are compared in practical example. The simplified neural network for linear model parameters estimation suitable for real process identification is introduced."@en . "Odhad parametr\u016F modelu procesu pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B v samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDch regul\u00E1torech"@cs . . "Proceedings of 7th International Carpathian Control Conference" . . "26220" . "RIV/00216305:26220/06:PU58708!RIV07-GA0-26220___" . "[AE273E365CFA]" . . "Ro\u017Enov pod Radho\u0161t\u011Bm" . . "P(GA102/06/1132)" .