Design of extended Kalman filtering neural network control system based on particle swarm identification of nonlinear U-model

Design of extended Kalman filtering neural network control system based on particle swarm identification of nonlinear U-model

This paper studies the modelling of a class of nonlinear plants with known structures but unknown parameters and proposes a general nonlinear U-model expression. The particle swarm optimization algorithm is used to identify the time-varying parameters of the nonlinear U-model online, which solves th...

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Bibliographic Details
Main Authors: Fengxia Xu, Xinyu Zhang, Zhongda Lu, Shanshan Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2022-07-01
Series:Automatika
Subjects:
U-model
particle swarm identification
extended Kalman filtering
neural network control
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2022.2052398

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