Rendezvous of Multiple UAVs with Collision Avoidance Using Consensus-Reference-Cited by-同舟云学术

Rendezvous of Multiple UAVs with Collision Avoidance Using Consensus

Published:2012-10 Issue:4 Volume:25 Page:480-489
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Manathara Joel George¹,Ghose Debasish²

Affiliation:

1. Graduate Student, Guidance, Control, and Decision Systems Laboratory (GCDSL), Dept. of Aerospace Engineering, Indian Institute of Science, Bangalore, India 560012 (corresponding author).

2. Professor, Guidance, Control, and Decision Systems Laboratory (GCDSL), Dept. of Aerospace Engineering, Indian Institute of Science, Bangalore, India 560012.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000145

Reference12 articles.

1. Das K. and Ghose D. (2009). “Positional consensus in multi-agent systems using broadcast control mechanisms.” Proc. American Control Conf. IEEE St. Louis 5731–5736.

2. On Curves of Minimal Length with a Constraint on Average Curvature, and with Prescribed Initial and Terminal Positions and Tangents

3. Furukawa T. Bourgault F. Whyte H. F. D. and Dissanayake G. (2005). “Dynamic allocation and control of coordinated UAVs to engage multiple targets in a time-optimal manner.” Proc. IEEE Conf. on Robotics and Automation Barcelona Spain 2353–2358.

4. George J. and Ghose D. (2009). “A reactive inverse PN algorithm for collision avoidance among multiple unmanned aerial vehicles.” Proc. American Control Conf. IEEE St. Louis 3890–3895.

5. Lin J. Morse A. S. and Anderson B. D. O. (2003). “The multi-agent rendezvous problem.” Proc. IEEE Conf. on Decision and Control Maui HI 1508–1513.

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