NDLI: Rapid Information Transfer in Swarms Under Update-Rate-Bounds Using Delayed Self Reinforcement

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Rapid Information Transfer in Swarms Under Update-Rate-Bounds Using Delayed Self Reinforcement

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Devasia, Santosh
Copyright Year	2018
Abstract	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 article 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, results show that the DSR approach’s ability to enable superfluid-like, distortion-free information transfer results in maneuvers with smaller turn radius and improved cohesiveness.
Sponsorship	Dynamic Systems and Control Division
File Format	PDF
ISBN	9780791851913
DOI	10.1115/DSCC2018-9001
Volume Number	Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control
Conference Proceedings	ASME 2018 Dynamic Systems and Control Conference
Language	English
Publisher Date	2018-09-30
Publisher Place	Atlanta, Georgia, USA
Access Restriction	Subscribed
Subject Keyword	Engineering simulation Simulation Superfluidity Diffusion (physics)
Content Type	Text
Resource Type	Article

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