Predefined-Time Target Localization and Circumnavigation using Bearing-Only Measurements: Theory and Experiments

This paper investigates the problem of controlling an autonomous agent to simultaneously localize and circumnavigate an unknown stationary target using bearing-only measurements (without explicit differentiation). To improve the convergence rate of target estimation, we introduce a novel adaptive target estimator that enables the agent to accurately localize the position of the unknown target with a tunable, predefined convergence time. Following this, we design a controller integrated with the estimator to steer the agent onto a circular trajectory centered at the target with a desired radius. The predefined-time stability of the overall system including the estimation and control errors are rigorously analyzed. Extensive simulations and experiments using unmanned aerial vehicles (UAVs) illustrate the performance and efficacy of the proposed estimation and control algorithms.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11186835
Citations
1
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
2.48
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article

Predefined-Time Target Localization and Circumnavigation using Bearing-Only Measurements: Theory and Experiments

Mohammad Deghat, Donglin Sui
1 citations
Target Tracking and Data Fusion in Sensor Networks
2.48
article

Predefined-Time Target Localization and Circumnavigation using Bearing-Only Measurements: Theory and Experiments

Mohammad Deghat, Donglin Sui
article en
1 citations

Abstract

This paper investigates the problem of controlling an autonomous agent to simultaneously localize and circumnavigate an unknown stationary target using bearing-only measurements (without explicit differentiation). To improve the convergence rate of target estimation, we introduce a novel adaptive target estimator that enables the agent to accurately localize the position of the unknown target with a tunable, predefined convergence time. Following this, we design a controller integrated with the estimator to steer the agent onto a circular trajectory centered at the target with a desired radius. The predefined-time stability of the overall system including the estimation and control errors are rigorously analyzed. Extensive simulations and experiments using unmanned aerial vehicles (UAVs) illustrate the performance and efficacy of the proposed estimation and control algorithms.

UNSW Sydney (AU)
Openalex Percentile: Top 8%
Target Tracking and Data Fusion in Sensor Networks
2.48
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