Learning‐based tracking control of AUV: Mixed policy improvement and game‐based disturbance rejection

Learning‐based tracking control of AUV: Mixed policy improvement and game‐based disturbance rejection

Abstract A mixed adaptive dynamic programming (ADP) scheme based on zero‐sum game theory is developed to address optimal control problems of autonomous underwater vehicle (AUV) systems subject to disturbances and safe constraints. By combining prior dynamic knowledge and actual sampled data, the pro...

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Bibliographic Details
Main Authors: Jun Ye, Hongbo Gao, Manjiang Hu, Yougang Bian, Qingjia Cui, Xiaohui Qin, Rongjun Ding
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
adaptive dynamic programming
autonomous underwater vehicle
game theory
optimal control
reinforcement learning
Online Access:https://doi.org/10.1049/cit2.12372
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https://doi.org/10.1049/cit2.12372

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