Multistage parameter estimation algorithms for identification of bilinear systems

In this paper, two methods for parameter estimation of bilinear state-space systems with colored noise, which are expressed by ARMA model, are proposed. Using the hierarchical identification principle and gradient method, to reduce the computational cost, both the four-stage recursive least squares...

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Bibliographic Details
Published in:	Nonlinear dynamics Vol. 110; no. 3; pp. 2635 - 2655
Main Authors:	Shahriari, Fatemeh, Arefi, Mohammad Mehdi, Luo, Hao, Yin, Shen
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.11.2022 Springer Nature B.V
Subjects:	Accuracy Algorithms Automotive Engineering Classical Mechanics Control Convergence Decomposition Design Dynamical Systems Engineering Error reduction Identification Iterative methods Kalman filters Least squares Mechanical Engineering Methods Original Paper Parameter estimation Parameter identification State estimation State observers Vibration Gradient search Parameter estimation Bilinear systems Hierarchical identification
ISSN:	0924-090X, 1573-269X
Online Access:	Get full text
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