Stabilization of logical control networks: an event-triggered control approach

Shiyong Zhu, Yang Liu, Yijun Lou, Jinde Cao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

33 Citations (Scopus)

Abstract

This paper investigates the global stabilization problem of k-valued logical control networks (KVLCNs) via event-triggered control (ETC), where the control inputs only work at several certain individual states. Compared with traditional state feedback control, the designed ETC approach not only shortens the transient period of logical networks but also decreases the number of controller executions. The content of this paper is divided into two parts. In the first part, a necessary and sufficient criterion is derived for the event-triggered stabilization of KVLCNs, and a construction procedure is developed to design all time-optimal event-triggered stabilizers. In the second part, the switching-cost-optimal event-triggered stabilizer is designed to minimize the number of controller executions. A labeled digraph is obtained based on the dynamic of the overall system. Utilizing this digraph, we formulate a universal and unified procedure called the minimal spanning in-tree algorithm to minimize the triggering event set. Furthermore, we illustrate the effectiveness of obtained results through several numerical examples.

Original languageEnglish
Article number112203
Pages (from-to)1-11
Number of pages11
JournalScience China Information Sciences
Volume63
Issue number1
DOIs
Publication statusPublished - Jan 2020

Keywords

  • event-triggered control
  • logical control network
  • minimal spanning in-tree
  • semi-tensor product
  • stabilization

ASJC Scopus subject areas

  • Computer Science(all)

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