The effectiveness of a network's response to external stimuli depends on rapid distortion-free information transfer across the network. However, the rate of information transfer, when each agent aligns with information from its network neighbors, is limited by the update rate at which each individual can sense and process information. Moreover, such neighbor-based, diffusion-type information transfer does not predict the superfluid-like information transfer during swarming maneuvers observed in nature. The main contribution of this paper is to propose a novel model that uses self-reinforcement, where each individual augments its neighbor-averaged information update using its previous update to (i) increase the information-transfer rate without requiring an increased, individual update-rate and (ii) enable superfluid-like information transfer. Simulations results of example systems show substantial improvement, more than an order of magnitude increase, in the information transfer rate, without the need to increase the update rate. Moreover, the results show that the delayed self-reinforcement (DSR) approach's ability to enable superfluid-like, distortion-free information transfer results in maneuvers with smaller turn radius and improved cohesiveness. Such faster response rate with limited individual update rate can enable better understanding of cohesiveness of flocking in nature, as well as improve the performance of engineered swarms such as unmanned mobile systems.
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August 2019
Research-Article
Rapid Information Transfer in Swarms Under Update-Rate-Bounds Using Delayed Self-Reinforcement
Santosh Devasia
Santosh Devasia
Fellow ASME
Mechanical Engineering Department,
University of Washington,
Seattle, WA 98195-2600
e-mail: devasia@uw.edu
Mechanical Engineering Department,
University of Washington,
Seattle, WA 98195-2600
e-mail: devasia@uw.edu
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Santosh Devasia
Fellow ASME
Mechanical Engineering Department,
University of Washington,
Seattle, WA 98195-2600
e-mail: devasia@uw.edu
Mechanical Engineering Department,
University of Washington,
Seattle, WA 98195-2600
e-mail: devasia@uw.edu
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received April 13, 2018; final manuscript received February 15, 2019; published online March 25, 2019. Assoc. Editor: Soo Jeon.
J. Dyn. Sys., Meas., Control. Aug 2019, 141(8): 081009 (9 pages)
Published Online: March 25, 2019
Article history
Received:
April 13, 2018
Revised:
February 15, 2019
Citation
Devasia, S. (March 25, 2019). "Rapid Information Transfer in Swarms Under Update-Rate-Bounds Using Delayed Self-Reinforcement." ASME. J. Dyn. Sys., Meas., Control. August 2019; 141(8): 081009. https://doi.org/10.1115/1.4042949
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