Asymptotic Behavior of Inter-Event Times in Planar Systems under Event-Triggered Control
Anusree Rajan, Pavankumar Tallapragada

TL;DR
This paper studies the long-term behavior of inter-event times in planar systems under event-triggered control, using angle maps and ergodic theory to determine convergence, non-convergence, and average inter-event times.
Contribution
It introduces a fixed point analysis of the angle map for scale-invariant event-triggering rules, providing new conditions for inter-event time convergence and asymptotic behavior.
Findings
Conditions for convergence or non-convergence of inter-event times.
Analysis of average inter-event time as a function of initial state.
Use of rotation theory to describe asymptotic inter-event time behavior.
Abstract
This paper analyzes the asymptotic behavior of inter-event times in planar linear systems, under event-triggered control with a general class of scale-invariant event triggering rules. In this setting, the inter-event time is a function of the angle of the state at an event. This viewpoint allows us to analyze the inter-event times by studying the fixed points of the angle map, which represents the evolution of the angle of the state from one event to the next. We provide a sufficient condition for the convergence or non-convergence of inter-event times to a steady state value under a scale-invariant event-triggering rule. Following up on this, we further analyze the inter-event time behavior in the special case of threshold based event-triggering rule and we provide various conditions for convergence or non-convergence of inter-event times to a constant. We also analyze the asymptotic…
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Taxonomy
TopicsStability and Control of Uncertain Systems · Advanced Control Systems Optimization
