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Target Capturing in an Ellipsoidal Region for a Swarm of Double Integrator Agents
A. Bono, L. D’Alfonso, G. Fedele, and V. Gazi, “Target capturing in an ellipsoidal region for a swarm of double integrator agents,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 5, pp. 801–811, May 2022. doi: 10.1109/JAS.2022.105551
Authors:Antonio Bono  Luigi D’Alfonso  Giuseppe Fedele  Veysel Gazi
Affiliation:1. Department of Informatics, Modeling, Electronics and Systems Engineering, University of Calabria, Rende 87036, Italy;2. Dept. Electrical and Electronics Eng., Faculty of Engineering, Marmara University, Istanbul 34722, Turkey;3. Department of Control and Automation Engineering, Faculty of Electrical and Electronics Engineering, Yildiz Technical University, Esenler 34220, Turkey
Abstract:In this paper we focus on the target capturing problem for a swarm of agents modelled as double integrators in any finite space dimension. Each agent knows the relative position of the target and has only an estimation of its velocity and acceleration. Given that the estimation errors are bounded by some known values, it is possible to design a control law that ensures that agents enter a user-defined ellipsoidal ring around the moving target. Agents know the relative position of the other members whose distance is smaller than a common detection radius. Finally, in the case of no uncertainty about target data and homogeneous agents, we show how the swarm can reach a static configuration around the moving target. Some simulations are reported to show the effectiveness of the proposed strategy. 
Keywords:Agents-based systems   cooperative control   swarms   target-capturing
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