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

Jun Chai, Pedro Casau, Ricardo G. Sanfelice

2020International Journal of Robust and Nonlinear Control18 citationsDOI

Abstract

Summary 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.

Topics & Concepts

Computer scienceRobustness (evolution)Asynchronous communicationHybrid systemControl theory (sociology)Zeno's paradoxesKey (lock)Robust controlDynamical systems theoryAlgorithmStability (learning theory)Event (particle physics)Control engineeringControl systemControl (management)MathematicsEngineeringArtificial intelligenceMachine learningGeometryPhysicsBiochemistryComputer securityGeneChemistryComputer networkQuantum mechanicsElectrical engineeringStability and Control of Uncertain SystemsAdvanced Control Systems OptimizationFault Detection and Control Systems