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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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Journal ArticleDOI
Linear complementarity systems
TL;DR: The framework described is suitable for certain situations in which both differential equations and inequalities play a role; for instance, in mechanics, electrical networks, piecewise linear systems, and dynamic optimization.
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Stabilizing Model Predictive Control of Hybrid Systems
TL;DR: A priori sufficient conditions for Lyapunov asymptotic stability and exponential stability are derived in the terminal cost and constraint set fashion, while allowing for discontinuous system dynamics and discontinuous MPC value functions.
Proceedings ArticleDOI
Output-based event-triggered control with Guaranteed ℒ ∞ -gain and improved event-triggering
TL;DR: This paper will propose an event-triggering mechanism that invokes execution of the control task when the difference between the measured output or the control input of the plant or controller becomes ‘large’ compared to its current value and an additional threshold.
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Observer-Based Control of Discrete-Time LPV Systems With Uncertain Parameters $ $
TL;DR: In this article, linear matrix inequality-based design conditions are presented for observer-based controllers that stabilize discrete-time linear parameter-varying systems in the situation where the parameters are not exactly known, but are only available with a finite accuracy.
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Brief paper: Stability analysis of stochastic networked control systems
TL;DR: This paper presents a modelling framework for NCSs based on stochastic discrete-time switched linear systems based on convex overapproximations and a finite number of linear matrix inequalities, and illustrated the effectiveness of the developed theory on a benchmark example of a batch reactor.