地球表面分布式可再生资源采集的优化控制

IF 0.6 4区计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS

Automation and Remote Control Pub Date : 2024-11-05 DOI:10.1134/S0005117924700048

D. V. Tunitsky

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引用次数: 0

摘要

本文致力于研究分布在地球表面的可再生资源的混合（静态和周期脉冲）收获的最优控制。这种资源的例子是生物种群，包括病毒、化学污染物、尘埃粒子等。研究证明，在无限的规划范围内，存在一种可接受的控制方法，可以确保最大的时间平均收获量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal Control of Harvesting of a Distributed Renewable Resource on the Earth’s Surface

This paper is devoted to the optimal control of mixed (stationary and periodic impulse) harvesting of a renewable resource distributed on the Earth’s surface. Examples of such a resource are biological populations, including viruses, chemical contaminants, dust particles, and the like. It is proved that on an infinite planning horizon, there exists an admissible control ensuring the maximum of time-averaged harvesting.

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来源期刊

Automation and Remote Control 工程技术-仪器仪表

CiteScore

1.70

自引率

28.60%

发文量

审稿时长

3-8 weeks

期刊介绍： Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).