对偶(语法数字)
计算机科学
控制(管理)
危险废物
功能(生物学)
数学优化
工程类
人工智能
数学
进化生物学
生物
文学类
艺术
废物管理
作者
Xuan-Toa Tran,Wen‐Hua Chen,Guoqiang Tan
标识
DOI:10.1109/icit58233.2024.10540732
摘要
This paper presents a new control algorithm designed for addressing the challenges posed by autonomous search problems, where the true source location and environment remain unknown. Utilizing a novel reward function, we formulate a fast dual control approach within the realm of optimization. This approach attains an optimal balance between exploration and exploitation by navigating the searcher towards the estimated source target while maximizing the exploration capability of control actions. The proposed algorithm not only demonstrates excellent search performance but also exhibits a high level of computational efficiency, as evidenced by two numerical examples provided for illustration.
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