TY - JOUR
T1 - A Stochastic Binary Vertex-Triggering Resetting Algorithm for Global Synchronization of Pulse-Coupled Oscillators
AU - Javed, Muhammad Umar
AU - Poveda, Jorge I.
AU - Chen, Xudong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - In this article, we propose a novel stochastic binary resetting algorithm for networks of pulse-coupled oscillators (or, simply, agents) to reach global synchronization. The algorithm is simple to state: Every agent in a network oscillates at a common frequency. Upon completing an oscillation, an agent generates a Bernoulli random variable to decide whether it sends pulses to all of its out-neighbors or it stays quiet. Upon receiving a pulse, an agent resets its state by following a binary phase update rule. We show that such an algorithm can guarantee global synchronization of the agents almost surely as long as the underlying information flow topology is a rooted directed graph. The proof of the result relies on the use of a stochastic hybrid dynamical system approach. Toward the end of this article, we present numerical demonstrations for the validity of the result and numerical studies about the units of time needed to reach synchronization for networks with various information flow topologies.
AB - In this article, we propose a novel stochastic binary resetting algorithm for networks of pulse-coupled oscillators (or, simply, agents) to reach global synchronization. The algorithm is simple to state: Every agent in a network oscillates at a common frequency. Upon completing an oscillation, an agent generates a Bernoulli random variable to decide whether it sends pulses to all of its out-neighbors or it stays quiet. Upon receiving a pulse, an agent resets its state by following a binary phase update rule. We show that such an algorithm can guarantee global synchronization of the agents almost surely as long as the underlying information flow topology is a rooted directed graph. The proof of the result relies on the use of a stochastic hybrid dynamical system approach. Toward the end of this article, we present numerical demonstrations for the validity of the result and numerical studies about the units of time needed to reach synchronization for networks with various information flow topologies.
KW - Hybrid dynamical systems (HDSs)
KW - networked systems
KW - stochastic processes
KW - synchronization of multiagent systems
UR - http://www.scopus.com/inward/record.url?scp=85147303637&partnerID=8YFLogxK
U2 - 10.1109/TCNS.2023.3237487
DO - 10.1109/TCNS.2023.3237487
M3 - Article
AN - SCOPUS:85147303637
VL - 10
SP - 1707
EP - 1719
JO - IEEE Transactions on Control of Network Systems
JF - IEEE Transactions on Control of Network Systems
IS - 4
ER -