. "511373" . . "Adaptive Control: The Issue of Short Sampling Period" . "WSEAS" . "Z(MSM0021630503)" . . . "960-8457-32-7" . "Pivo\u0148ka, Petr" . . "26220" . . . "140-145" . "Adaptive Control: The Issue of Short Sampling Period"@en . "\u0160vancara, Kamil" . "2005-08-17+02:00"^^ . "Adaptivn\u00ED \u0159\u00EDzen\u00ED: Vlivy kr\u00E1tk\u00E9 periody vzorkov\u00E1n\u00ED"@cs . "Adaptive control, A/D converters, Delta models, Identification algorithms, Linear quadratic regulators, Neural networks, Quantization errors, Recursive algorithm, Sampling period"@en . . . "Adaptivn\u00ED \u0159\u00EDzen\u00ED: Vlivy kr\u00E1tk\u00E9 periody vzorkov\u00E1n\u00ED"@cs . "2"^^ . . "Korfu" . "5th Int. Conf. on Simulation, Modelling and Optimization SMO'05" . "RIV/00216305:26220/05:PU50810!RIV06-MSM-26220___" . "2"^^ . . . "[070F3D219713]" . . "The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other handit brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. Presented paper shows a comparison of two real-time identification methods wit th improved adaptive linear optimal controller."@en . . . "Pou\u017Eit\u00ED kr\u00E1tk\u00E9 periody vzorkov\u00E1n\u00ED nen\u00ED v literatu\u0159e dostate\u010Dn\u011B pops\u00E1no a nen\u00ED dostate\u010Dn\u011B publikov\u00E1n jej\u00ED vliv. Kr\u00E1tk\u00E1 perioda vzorkov\u00E1n\u00ED p\u0159itom m\u016F\u017Ee podstatm\u00FDm zp\u016Fsobem ovlivnit dynamiku p\u0159echodn\u00E9ho d\u011Bje."@cs . . "RIV/00216305:26220/05:PU50810" . . . . "6"^^ . "\u0158ecko" . . . "The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other handit brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. Presented paper shows a comparison of two real-time identification methods wit th improved adaptive linear optimal controller." . "Adaptive Control: The Issue of Short Sampling Period" . "Adaptive Control: The Issue of Short Sampling Period"@en . . .