Optimization-based Control for Bearing-only Target Search with a Mobile Vehicle
Abstract
This work aims to design an optimization-based controller for a discrete-time Dubins vehicle to approach a target with unknown position as fast as possible by only using bearing measurements. To this end, we propose a bi-objective optimization problem, which jointly considers the performance of estimating the unknown target position and controlling the mobile vehicle to a known position, and then adopt a weighted sum method with normalization to solve it. The controller is given based on the solution of the optimization problem in ties with a least-square estimate of the target position. Moreover, the controller does not need the vehicle's global position information. Finally, simulation results are included to validate the effectiveness of the proposed controller.
Cite
@article{arxiv.1908.00380,
title = {Optimization-based Control for Bearing-only Target Search with a Mobile Vehicle},
author = {Zhuo Li and Keyou You and Shiji Song and Anke Xue},
journal= {arXiv preprint arXiv:1908.00380},
year = {2019}
}