Online adaptive optimal tracking control for model-free nonlinear systems via a dynamic neural network
This paper presents an online adaptive approximate solution for the optimal tracking control problem of model-free nonlinear systems. Firstly, a dynamic neural network identifier with properly designed weights updating laws is developed to identify the unknown dynamics. Then an adaptive optimal trac...
Main Authors: | Yuming Yin, Zhiiun Fu, Yan Lu |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-07-01
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Series: | Automatika |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2023.2170058 |
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