Coverage Control for Mobile Sensor Networks with Double-Integrator Dynamics and Unknown Disturbances

Peng Wang; Cheng Song; Lu Liu

doi:10.1109/TAC.2022.3232056

Author(s)

Peng Wang
Cheng Song
Lu Liu

Related Research Unit(s)

Department of Biomedical Engineering

Detail(s)

Original language	English
Pages (from-to)	6299-6306
Journal / Publication	IEEE Transactions on Automatic Control
Volume	68
Issue number	10
Online published	26 Dec 2022
Publication status	Published - Oct 2023

Link(s)

DOI	DOI https://doi.org/10.1109/TAC.2022.3232056 Final Published version
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Attachment(s)	Documents 132904197.pdf Post-print, 558 KB, PDF Publisher's Copyright Statement COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Coverage Control for Mobile Sensor Networks with Double-Integrator Dynamics and Unknown Disturbances. IEEE Transactions on Automatic Control, 68(10), 6299 – 6306. https://doi.org/10.1109/TAC.2022.3232056
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85146247981&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(a38a4757-2aa7-4ece-9de2-1f779ada8d1d).html

Abstract

In this article, coverage control for mobile sensors with double-integrator dynamics and different maximum velocities on a circle is investigated. A generalized energy function is introduced in the proposed coverage control laws to guarantee order preservation of the sensors despite of the existence of unknown but bounded disturbances. The velocity constraint of each sensor is shown to be always satisfied throughout the coverage task. It is shown that the sensor network can be driven to a neighborhood of the optimal configuration minimizing the coverage cost function and an upper bound on the coverage cost function when time goes to infinity is also provided. Finally, a simulation example is given to illustrate the effectiveness of the proposed coverage control laws. © 2022 IEEE.

Research Area(s)

Aerospace electronics, Convergence, Cost function, Coverage control, mobile sensor networks, Space missions, Task analysis, unknown but bounded disturbances, Upper bound, Vehicle dynamics, velocity constraints