Abstract
In this paper, an event-triggering approach is proposed for a robust model predictive control method. The approach is applicable to constrained, linear time-invariant systems with bounded, additive disturbances. At each triggering instant, the triggering mechanism is designed online using a linear programming approach. Intuitively, the mechanism is a sequence of hyper-rectangles that surround the optimal state trajectory, over the prediction horizon. Standard analyses of robust feasibility and robust stability of the closed-loop, event-triggered control system are conducted. A numerical example is presented to show benefits of the proposed approach. In particular and under the assumption that the disturbance has a uniform distribution, we further study some statistical properties of the generated triggering instants.
| Original language | English |
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| Title of host publication | Proceedings of the IEEE 58th Conference on Decision and Control, CDC 2019 |
| Publisher | IEEE |
| Pages | 698-703 |
| ISBN (Electronic) | 978-1-7281-1398-2 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France Duration: 11 Dec 2019 → 13 Dec 2019 |
Conference
| Conference | 58th IEEE Conference on Decision and Control, CDC 2019 |
|---|---|
| Country/Territory | France |
| City | Nice |
| Period | 11/12/19 → 13/12/19 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.