. "Process Identification In Self-Tuning Controllers" . "Process Identification In Self-Tuning Controllers"@en . . "Va\u0148kov\u00E1, Mark\u00E9ta" . "Identifikace procesu v samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDch regul\u00E1torech"@cs . "1"^^ . "52" . "This paper deals with problems connected with identification in adaptive control. Firstly, it examines the relation between the classical recursive identification algorithms and the new approach based on neural networks. Furthermore, it illustrates these identification algorithms and compares it with the practical example. And finally it mentioned the neural network usable for parameter estimation of the linear model." . "26220" . "2" . . "This paper deals with problems connected with identification in adaptive control. Firstly, it examines the relation between the classical recursive identification algorithms and the new approach based on neural networks. Furthermore, it illustrates these identification algorithms and compares it with the practical example. And finally it mentioned the neural network usable for parameter estimation of the linear model."@en . "1210-0471" . . "CZ - \u010Cesk\u00E1 republika" . "Process Identification In Self-Tuning Controllers" . "6"^^ . . "1"^^ . "RIV/00216305:26220/06:PU64488" . . "495129" . "P(GA102/06/1132)" . "[6ED0D0BC5795]" . . . "203-208" . . . "Identifikace procesu v samo\u010Dinn\u011B se nastavuj\u00EDc\u00EDch regul\u00E1torech"@cs . . "Process Identification In Self-Tuning Controllers"@en . "RIV/00216305:26220/06:PU64488!RIV07-GA0-26220___" . . "Transaction of the V\u0160B-Technical university of Ostrava, Mechanical series" . . "Tento p\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 probl\u00E9my spojen\u00FDmi s identifikac\u00ED v adaptivn\u00EDm \u0159\u00EDzen\u00ED. Jsou zm\u00EDn\u011Bny klasick\u00E9 rekurz\u00EDvn\u00ED identifika\u010Dn\u00ED algoritmy a tak\u00E9 nov\u00FD p\u0159\u00EDstup zalo\u017Een\u00FD na identifikaci pomoc\u00ED neuronov\u00E9 s\u00EDt\u011B. Oba p\u0159\u00EDstupy jsou ilustrov\u00E1ny na praktick\u00E9m p\u0159\u00EDklad\u011B. V p\u0159\u00EDsp\u011Bvku je tak\u00E9 zm\u00EDn\u011Bna neuronov\u00E1 s\u00ED\u0165 pro odhad parametr\u016F line\u00E1rn\u00EDho modelu procesu vhodn\u00E1 pro identifikaci re\u00E1ln\u00E9ho procesu."@cs . . . "self-tuning controller, neural network, identification, parameter estimation"@en . .