Echo State Network-Based Robust Tracking Control for Unknown Constrained Nonlinear Systems by Using Integral Reinforcement Learning

Echo State Network-Based Robust Tracking Control for Unknown Constrained Nonlinear Systems by Using Integral Reinforcement Learning

It is necessary to consider the robustness in the tracking problem, which can effectively suppress the external disturbance to ensure the tracking performance. Different from previous tracking control methods, considering the robustness, completely unknown nonlinear system dynamics and constrained c...

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Bibliographic Details
Main Authors: Chong Liu, Yalun Li, Zhongxing Duan, Zhousheng Chu, Zongfang Ma
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Adaptive dynamic programming (ADP)
echo state network (ESN)
integral reinforcement learning (IRL)
robust control
tracking control
Online Access:https://ieeexplore.ieee.org/document/10414784/

Internet

https://ieeexplore.ieee.org/document/10414784/

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