Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model

For the difficulty that the information vector in the identification model contains the unknown variables, we substitute these unknown variables with the outputs of the auxiliary model and then develop an auxiliary model based recursive least squares algorithm, an auxiliary model based least squares...

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Vydané v:	Nonlinear dynamics Ročník 76; číslo 1; s. 777 - 784
Hlavní autori:	Hu, Huiyi, Ding, Rui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.04.2014 Springer Nature B.V
Predmet:	Algorithms Automotive Engineering Classical Mechanics Computer simulation Control Dynamical Systems Economic models Engineering Equivalence Estimating techniques Iterative methods Least squares Least squares method Mathematical models Mechanical Engineering Monte Carlo simulation Nonlinear control Nonlinear dynamics Nonlinear systems Nonlinearity Original Paper Parameter estimation Vibration Recursive identification Iterative method Parameter estimation Auxiliary model Input nonlinear system Least squares
ISSN:	0924-090X, 1573-269X
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