Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model

Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model

Due to the existence of system noise and unknown state variables, it is difficult to realize unbiased estimation with minimum variance for the parameter estimation of canonical state space model. This paper presents a new least squares estimator based on bias compensation principle to solve this pro...

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Bibliographic Details
Main Authors: Longlong Liu, Zhen Long, Ahmad Taher Azar, Quanmin Zhu, Ibraheem Kasim Ibraheem, Amjad J Humaidi
Format: Article
Language:English
Published: SAGE Publishing 2022-05-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/00202940211064179

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https://doi.org/10.1177/00202940211064179

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