A group of simple individuals may show ordered, complex behavior through local interactions. This phenomenon is called collective behavior, which has been observed in a vast variety of natural systems such as fish schools or bird flocks. The Vicsek model is a well-established mathematical model to study collective behavior through interaction of individuals with their neighbors in the presence of noise. How noise is modeled can impact the collective behavior of the group. Extrinsic noise captures uncertainty imposed on individuals, such as noise in measurements, while intrinsic noise models uncertainty inherent to individuals, akin to free will. In this paper, the effects of intrinsic and extrinsic noise on characteristics of the transition between order and disorder in the Vicsek model in three dimensions are studied through numerical simulation.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5828-8
PROCEEDINGS PAPER
Comparing the Effects of Intrinsic and Extrinsic Noise on the Vicsek Model in Three Dimensions
Masoud Jahromi Shirazi,
Masoud Jahromi Shirazi
Virginia Tech, Blacksburg, VA
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Nicole Abaid
Nicole Abaid
Virginia Tech, Blacksburg, VA
Search for other works by this author on:
Masoud Jahromi Shirazi
Virginia Tech, Blacksburg, VA
Nicole Abaid
Virginia Tech, Blacksburg, VA
Paper No:
DSCC2017-5303, V002T14A010; 7 pages
Published Online:
November 14, 2017
Citation
Shirazi, MJ, & Abaid, N. "Comparing the Effects of Intrinsic and Extrinsic Noise on the Vicsek Model in Three Dimensions." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications. Tysons, Virginia, USA. October 11–13, 2017. V002T14A010. ASME. https://doi.org/10.1115/DSCC2017-5303
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