Identification of Continuous-Time Linear Parameter Varying Systems With Noisy Scheduling Variable Using Local Regression

Identification of Continuous-Time Linear Parameter Varying Systems With Noisy Scheduling Variable Using Local Regression

Some nonlinear systems can be represented through linear parameter varying models. In this work, we address the estimation of continuous-time linear parameter varying models in output error form, using a refined instrumental variable method. A distinguished feature of a linear parameter varying mode...

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Bibliographic Details
Main Authors: Arturo Padilla, Hugues Garnier, Juan I. Yuz, Fengwei Chen, Carlos Munoz Poblete
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Continuous-time system identification
instrumental variable method
linear parameter varying model
local regression
smoothing method
Online Access:https://ieeexplore.ieee.org/document/10453551/

Internet

https://ieeexplore.ieee.org/document/10453551/

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