Collective behavior coordination with predictive mechanisms

Zhang, Hai-Tao; Chen, Michael ZhiQiang; Stan, Guy-Bart; Zhou, Tao; Maciejowski, Jan M.

doi:10.1109/MCAS.2008.928446

Back

Journal article

Collective behavior coordination with predictive mechanisms

Zhang, Hai-Tao Department of Engineering, University of Cambridge, United Kingdom - Department of Control Science and Engineering, Huazhong University mof Science and Technology, Wuhan, China
Chen, Michael ZhiQiang Department of Engineering, University of Leicester, United Kingdom
Stan, Guy-Bart Control Group of the Department of Engineering, Cambridge University, United Kingdom
Zhou, Tao epartment of Modern Physics, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland
Maciejowski, Jan M. Control Group of the Department of Engineering, Cambridge University, United Kingdom

2008

Published in:

IEEE Circuits and Systems Magazine. - 2008, vol. 6, no. 3, p. 67 - 85

English In natural flocks/swarms, it is very appealing that low-level individual intelligence and communication can yield advanced coordinated collective behaviors such as congregation, synchronization and migration. In the past few years, the discovery of collective flocking behaviors has stimulated much interest in the study of the underlying organizing principles of abundant natural groups, which has led to dramatic advances in this emerging and active research field. Inspired by previous investigations on the predictive intelligence of animals, insects and microorganisms, we seek in this article to understand the role of predictive mechanisms in the forming and evolving of flocks/swarms by using both numerical simulations and mathematical analyses. This article reviews some basic concepts, important progress, and significant results in the current studies of collective predictive mechanisms, with emphasis on their virtues concerning consensus improvement and communication cost reduction. Due to these advantages, such predictive mechanisms have great potential to find their way into industrial applications.

Faculty

Faculté des sciences et de médecine

Department

Département de Physique

Language