Design of extended Kalman filtering neural network control system based on particle swarm identification of nonlinear U-model-Reference-Cited by-同舟云学术

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

Published:2022-03-18 Issue:3 Volume:63 Page:463-473
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Xu Fengxia¹²,Zhang Xinyu³,Lu Zhongda¹²,Wang Shanshan³

Affiliation:

1. College of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar, People’s Republic of China

2. Collaborative Innovation Center of Intelligent Manufacturing Equipment Industrialization of Heilongjiang Province, Qiqihar, People’s Republic of China

3. College of Computer and Control Engineering, Qiqihar University, Qiqihar, People’s Republic of China

Funder

Heilongjiang Provincial Natural Science Foundation of China

State Grid Heilongjiang Electric Power Co., Ltd.

Heilongjiang Provincial institutions of higher learning basic scientific research funds scientific research project

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2022.2052398

Reference28 articles.

1. A pole placement controller for non-linear dynamic plants

2. Li R, Zhu QM, Kiely J, et al. (2020). Algorithms for U-model-based dynamic inversion (UM-dynamic inversion) for continuous time control systems. Paper 3640210. Complexity.

3. Radial basis functions neural network of vary learning rate based stochastic U-model

4. U-model-based adaptive control for a class of stochastic non-linear dynamic plants with unknown parameters

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