一类有界扰动下极值寻优控制器的分析。

Samuel C Pinto, Sean B Andersson
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引用次数: 0

摘要

极值搜索(Extremum searching, ES)的一个应用是通过使用移动代理来定位标量场的来源,移动代理可以测量标量场的当前位置。虽然科学文献已经提出了许多方法来解决这个问题,但仍然缺乏对ES控制器在存在干扰时寻找源的行为的正式分析。本文旨在通过分析存在源运动和测量干扰的ES控制算法的特定版本来填补这一空白。我们定义了这个控制器的近似版本,它捕获了主要特征,但允许简化分析,然后正式表征了这个近似的收敛性质。通过仿真和物理实验,我们将理论预测的简化系统的吸引区域与完整系统的行为进行了比较,并表明简化版本可以很好地预测初始ES控制器的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of an Extremum Seeking Controller Under Bounded Disturbance.

Analysis of an Extremum Seeking Controller Under Bounded Disturbance.

Analysis of an Extremum Seeking Controller Under Bounded Disturbance.

One of the applications of Extremum Seeking (ES) is to localize the source of a scalar field by using a mobile agent that can measure this field at its current location. While the scientific literature has presented many approaches to this problem, a formal analysis of the behavior of ES controllers for source seeking in the presence of disturbances is still lacking. This paper aims to fill this gap by analyzing a specific version of an ES control algorithm in the presence of source movement and measurement disturbances. We define an approximate version of this controller that captures the main features but allows for a simplified analysis and then formally characterize the convergence properties of this approximation. Through simulations and physical experiments, we compare the theoretically-predicted regions of attraction of the simplified system with the behavior of the full system and show that the simplified version is a good predictor of the behavior of the initial ES controller.

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