Lab

Hybrid Systems Lab

Featured research (2)

This paper presents a distributed hybrid algorithm that synchronizes the time and rate of a set of clocks connected over a network. Clock measurements of the nodes are given at aperiodic time instants and the controller at each node uses these measurements to achieve synchronization. Due to the continuous and impulsive nature of the clocks and the network, we introduce a hybrid system model to effectively capture the dynamics of the system and the proposed hybrid algorithm. Moreover, the hybrid algorithm allows each agent to estimate the skew of its internal clock in order to allow for synchronization to a common timer rate. We provide sufficient conditions guaranteeing synchronization of the timers, exponentially fast. Numerical results illustrate the synchronization property induced by the proposed algorithm as well as its performance against comparable algorithms from the literature.

Lab head

Members (4)

Berk Altin
  • University of California, Santa Cruz
Marcello Guarro
  • University of California, Santa Cruz
Santiago J. Leudo
  • University of California, Santa Cruz
Jeremy Crowley
  • Stanford University
Hyejin Han
Hyejin Han
  • Not confirmed yet
Yegeta Zeleke
Yegeta Zeleke
  • Not confirmed yet