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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jun Ye, Hongbo Gao, Manjiang Hu, Yougang Bian, Qingjia Cui, Xiaohui Qin, Rongjun Ding
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2025-04-01
Schriftenreihe:	CAAI Transactions on Intelligence Technology
Schlagworte:	adaptive dynamic programming autonomous underwater vehicle game theory optimal control reinforcement learning
Online-Zugang:	https://doi.org/10.1049/cit2.12372
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