Analysis and design of event‐triggered control algorithms using hybrid systems tools

Abstract

This article proposes a general framework for analyzing continuous‐time systems controlled by event‐triggered algorithms. Closed‐loop systems resulting from using both static and dynamic output (or state) feedback laws that are implemented via asynchronous event‐triggered techniques are modeled as hybrid systems given in terms of hybrid inclusions. Using recently developed tools for robust stability, properties of the proposed models, including stability of compact sets, robustness, and Zeno behavior of solutions are addressed. The framework and results are illustrated by several event‐triggered strategies available in the literature, and observations about their key dynamical properties are made.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 25, 2020
Source ID
10.1002/rnc.5141

Entities

People

  • Jun Chai
  • Pedro Casau
  • Ricardo G. Sanfelice

Organizations

  • Air Force Office of Scientific Research
  • Center for Information Technology Research in the Interest of Society
  • Fundação para a Ciência e Tecnologia
  • National Science Foundation
  • University of Lisbon

Tags

Readers

  • Control Systems Engineering.
  • Neural Network Machine Learning.