Modelling and identification of linear discrete systems using least squares method

Autor: Peter Sarafin, Samuel Zak, Martin Hudik, Martin Revak, Peter Sevcik
Rok vydání: 2017
Předmět:
Zdroj: FedCSIS
ISSN: 2300-5963
DOI: 10.15439/2017f406
Popis: In control applications, we often encounter systems that respond to the change of control signal in an undesirable way. To adjust system output, there arises the need to know system parameters, so the identification has to be performed. The aim of this paper is to compare upstanding identification error that is the consequence of dataset size, input signal type, and quantization error occurring in the signal. The experimental part of this paper presents the results measured on the real device and shows the identification results.
Databáze: OpenAIRE