Energy-event-triggered hybrid supervisory control for cyber-physical network systems

Qing Hui*, Xianlin Zeng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This technical note develops energy-event-triggered hybrid supervisory control techniques to address robust and fast energy equipartition for cyber-physical network systems, and discusses the application of the proposed approach to power systems. First, we present a hybrid controller with a distributed feedback and supervisory energy-event-triggered resetting law to achieve the robust disturbance rejection performance of physical networks by mimicking thermodynamic systems. The proposed controller architectures are constructed in such a way that each controller has a one-directional energy transfer from a plant to itself, and exchanges energy with its neighboring controllers. Specifically, if the cyber-physical system is lossless, this controller can prevent cascading behaviors. Second, we propose a consensus hybrid controller that mitigates the disturbance effect by decentralizing the disturbance on one plant to all the other plants when stabilizing it. In addition, a new combined hybrid controller based on the two precedent hybrid controllers is proposed to achieve cascade prevention and fast energy equipartition for lossless cyber-physical network systems. Finally, we apply our hybrid control technique to power systems, and simulation studies are carried out to show the efficacy of the proposed approach.

Original languageEnglish
Article number7054528
Pages (from-to)3083-3088
Number of pages6
JournalIEEE Transactions on Automatic Control
Volume60
Issue number11
DOIs
Publication statusPublished - 1 Nov 2015
Externally publishedYes

Keywords

  • Cyber-physical network systems
  • energy-event-triggered resetting law
  • hybrid supervisory control
  • thermodynamics systems

Fingerprint

Dive into the research topics of 'Energy-event-triggered hybrid supervisory control for cyber-physical network systems'. Together they form a unique fingerprint.

Cite this