A novel algorithm for integrated control model using swarm robots for intruder detection and rescue schedules-Reference-Cited by-同舟云学术

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A novel algorithm for integrated control model using swarm robots for intruder detection and rescue schedules

Published:2019-04-27 Issue:2 Volume:72 Page:273-284
ISSN:1018-4864
Container-title:Telecommunication Systems
language:en
Short-container-title:Telecommun Syst

Author:

Khan Gul Rukh,Novara Carlo,Haseeb Khalid,Ishtiaq Atif

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11235-019-00569-5.pdf

Reference38 articles.

1. Christensen, A. L., et al. (2013). Communication and control for swarms of aquatic surface drones: the HANCAD and CORATAM projects (pp. 1–6).

2. Cigla, C., Brockers, R., & Matthies, L. (2017). Gaussian mixture models for temporal depth fusion. In Proceedings—2017 IEEE winter conference on applications of computer vision, WACV 2017, no. October (pp. 889–897).

3. Saeed, N., Celik, A., Al-Naffouri, T. Y., & Alouini, M.-S. (2018). Underwater optical sensor networks localization with limited connectivity. In ICASSP, IEEE international conference on acoustics, speech and signal processing—Proceedings. February (pp. 3804–3808), 2018.

4. Brambilla, M., Ferrante, E., Birattari, M., & Dorigo, M. (2013). Swarm robotics: A review from the swarm engineering perspective. Swarm Intelligence, 7(1), 1–41.

5. Novara, C., Canuto, E., & Carlucci, D. (2016). Control of systems with sector-bounded nonlinearities: robust stability and command effort minimization by disturbance rejection. Control Theory and Technology, 14(3), 209–223.

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1. A Review Paper on Mobile Robots Applications in Search and Rescue Operations;International Conference on Future Technologies in Manufacturing, Automation, Design and Energy;2023-09-27

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