Circumnavigation Using Distance Measurements (Extended Version)
Iman Shames, Soura Dasgupta, Baris Fidan, and Brian. D. O. Anderson

TL;DR
This paper presents a nonlinear control law enabling a mobile agent to circumnavigate a stationary or drifting target at a fixed distance using only distance measurements, with proven exponential convergence and robustness to drift.
Contribution
It introduces a novel nonlinear periodic control law that combines target estimation and circumnavigation, ensuring global exponential convergence using only distance data.
Findings
Achieves circumnavigation with only distance measurements
Proven global exponential convergence of the control law
Robust to slow, persistent drift of the target
Abstract
Consider a stationary agent A at an unknown location and a mobile agent B that must move to the vicinity of and then circumnavigate A at a prescribed distance from A. In doing so, B can only measure its distance from A, and knows its own position in some reference frame. This paper considers this problem, which has applications to surveillance or maintaining an orbit. In many of these applications it is difficult for B to directly sense the location of A, e.g. when all that B can sense is the intensity of a signal emitted by A. This intensity does, however provide a measure of the distance. We propose a nonlinear periodic continuous time control law that achieves the objective. Fundamentally, B must exploit its motion to estimate the location of A, and use its best instantaneous estimate of where A resides, to move itself to achieve the ultimate circumnavigation objective. The control…
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Taxonomy
TopicsMachine Learning and Algorithms · Intelligent Tutoring Systems and Adaptive Learning · Educational Technology and Assessment
