Faster Response in Bounded-Update-Rate, Discrete-time Networks using Delayed Self-Reinforcement

Abstract

The response speed of a network impacts the efficacy of its actions to external stimuli. However, for a given bound on the update rate, the network-response speed is limited by the need to maintain stability. This work increases the network-response speed without having to increase the update rate by using delayed self-reinforcement (DSR), where each agent uses its already available information from the network to strengthen its individual update law. Example simulation results are presented that show more than an order of magnitude improvement in the response speed (quantified using the settling time) with the proposed DSR approach.

10 pages

References in corpus (3)

• Novel type of phase transition in a system of self-driven particles
• Rapid Information Transfer in Networks with Delayed Self Reinforcement
• Accelerated Consensus for Multi-Agent Networks through Delayed Self Reinforcement

Cited by in corpus (2)

• Cohesive Networks using Delayed Self Reinforcement
• Rapid Transitions with Robust Accelerated Delayed Self Reinforcement for Consensus-Based Networks