Abstract
Interacting, multi-robot systems show increasing promise for advances in exploration and defense applications. Here, we model a non-linear system of self-propelled individuals interacting via a pairwise attractive and repulsive potential. Depending on the interaction parameters, the agents may disperse, accumulate into self-organizing structures such as flocks and vortices, or collapse onto themselves. Borrowing tools from Statistical Mechanics, we discuss the connections between the H-stable nature of the interaction potential and resulting aggregating patterns and asymptotic behaviors.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
N E Leonard, E Fiorelli (2001) Proceedings of the 40th IEEE International Conference on Decision and Control 2968–2973 IEEE, Orlando
J Desai, V Kumar, J Ostrowski (1998) Proceedings of the IEEE International Conference on Robots and Automation 2864–2869
D Fox, W Burgard, H Kruppa and S Thrun (2000) Autonomous Robots 8:3
E W Justh, P S Krishnaprasad (2003) Proceedings of the 42nd IEEE International Conference on Desicion and Control 3609–3614
S Camazine et al (2003) Self organization in biological systems Princeton Univ. Press, Princeton
J K Parrish, L Edelstein-Keshet (1999) Science 284:99–100
E Bonabeau, M Dorigo, G Theraulaz (1999) Swarm intelligence: from natural to artificial systems Oxford Univ Press, Oxford
K Huang (1987) Statistical Mechanics Wiley, New York
D Ruelle (1969) Statistical Mechanics, Rigorous results, W A Benjamin Inc, New York
A Procacci, Cluster expansion methods in rigorous statistical mechanics (www. mat.ufmg.br/aldo/papers/book.pdf)
H Levine, W J Rappel, I Cohen (2000) Phys Rev E 63:017101
M R D’Orsogna, Y L Chuang, A L Bertozzi, L S Chayes (2005) http://arxiv.org/abs/cond-mat/0509502
B Q Nguyen et al (2005) Proc American Control Conference 1084–1089
R Hilborn (2001) Chaos and Nonlinear Dynamics Oxford Univ Press, Oxford
F Schweitzer, W Ebeling, B Tilch (2001) Phys Rev E 64:021110
V Gazi, K Passino (2002) Proceedings of the 41st IEEE International Conference on Decision and Control 2842–2847 IEEE, Las Vegas
V Gazi, K Passino (2003) IEEE Transactions on Automatic Control 48:692–697
G H Golub, J M Ortega (1992) Scientific Computing and Differential Equations: An Introduction to Numerical Methods Academic Press, New York
J H Irving, J G Kirkwood (1950) J Chem Phys 6:817–829
Y L Chuang in preparatino
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
D’Orsogna, M., Chuang, Yl., Bertozzi, A., Chayes, L. (2006). Pattern Formation Stability and Collapse in 2D Driven Particle Systems. In: Baglio, S., Bulsara, A. (eds) Device Applications of Nonlinear Dynamics. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33878-0_8
Download citation
DOI: https://doi.org/10.1007/3-540-33878-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33877-2
Online ISBN: 978-3-540-33878-9
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)