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Wpmh Maurice Heemels

Researcher at Eindhoven University of Technology

Publications -  458
Citations -  18915

Wpmh Maurice Heemels is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Linear system & Control system. The author has an hindex of 59, co-authored 427 publications receiving 16476 citations. Previous affiliations of Wpmh Maurice Heemels include University of California, Santa Barbara.

Papers
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Proceedings ArticleDOI

An introduction to event-triggered and self-triggered control

TL;DR: An introduction to event- and self-triggered control systems where sensing and actuation is performed when needed and how these control strategies can be implemented using existing wireless communication technology is shown.
Journal ArticleDOI

Periodic event-triggered control for nonlinear systems

TL;DR: The PETC strategies developed in this paper apply to both static state-feedback and dynamical output-based controllers, as well as to both centralized and decentralized (periodic) event-triggering conditions.
Journal ArticleDOI

Brief Equivalence of hybrid dynamical models

TL;DR: Equivalences among five classes of hybrid systems are established, of paramount importance for transferring theoretical properties and tools from one class to another, with the consequence that for the study of a particular hybrid system that belongs to any of these classes, one can choose the most convenient hybrid modeling framework.
Journal ArticleDOI

Output-Based Event-Triggered Control With Guaranteed ${\cal L}_{\infty}$ -Gain and Improved and Decentralized Event-Triggering

TL;DR: This paper proposes a decentralized event-triggering mechanism that will be able to guarantee stability and performance for event-triggered controllers with larger minimum inter-event times than the existing results in the literature.
Journal ArticleDOI

Analysis of event-driven controllers for linear systems

TL;DR: This paper considers an event-driven control scheme for perturbed linear systems that triggers the control update only when the tracking or stabilization error is large, so that the average processor and/or communication load can be reduced significantly.