A Neural-Reinforcement-Learning-Based Guaranteed Cost Control for Perturbed Tracking Systems

Artificial intelligence (AI)-based learning control plays a critical role in the evolution of intelligent control, particularly for complex network systems. Traditional intelligent control methods assume the agent can learn from safe data in the tasks. However, many application scenarios exist pertu...

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Bibliographic Details
Published inIEEE transactions on artificial intelligence Vol. 5; no. 6; pp. 3205 - 3217
Main Authors Zhong, Xiangnan, Ni, Zhen
Format Journal Article
LanguageEnglish
Published IEEE 01.06.2024
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