Integral Reinforcement Learning for Tracking in a Class of Partially Unknown Linear Systems With Output Constraints and External Disturbances

Integral Reinforcement Learning for Tracking in a Class of Partially Unknown Linear Systems With Output Constraints and External Disturbances

In this paper, the <inline-formula> <tex-math notation="LaTeX">$H_\infty $ </tex-math></inline-formula> tracking control problem of partially unknown linear systems with output constraints and disturbance is studied by the reinforcement learning (RL) method. Firstly...

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Bibliographic Details
Main Authors: Chunbin Qin, Jinguang Wang, Xiaopeng Qiao, Heyang Zhu, Dehua Zhang, Yonghang Yan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Barrier function
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ tracking control
integral reinforcement learning
output constraints
Online Access:https://ieeexplore.ieee.org/document/9775967/

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https://ieeexplore.ieee.org/document/9775967/

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