Novel event-triggered strategies for Model Predictive Controllers

Eqtami, A; Dimarogonas, DV; Kyriakopoulos, KJ

dc.contributor.author	Eqtami, A	en
dc.contributor.author	Dimarogonas, DV	en
dc.contributor.author	Kyriakopoulos, KJ	en
dc.date.accessioned	2014-03-01T02:53:23Z
dc.date.available	2014-03-01T02:53:23Z
dc.date.issued	2011	en
dc.identifier.issn	01912216	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36283
dc.subject.other	Additive disturbance	en
dc.subject.other	Compact sets	en
dc.subject.other	Control laws	en
dc.subject.other	Discrete-time nonlinear systems	en
dc.subject.other	Event-triggered	en
dc.subject.other	Model predictive controllers	en
dc.subject.other	Non-linear model	en
dc.subject.other	Optimal control problem	en
dc.subject.other	Sufficient conditions	en
dc.subject.other	Uncertain nonlinear systems	en
dc.subject.other	Nonlinear systems	en
dc.subject.other	Optimal control systems	en
dc.subject.other	Uncertainty analysis	en
dc.title	Novel event-triggered strategies for Model Predictive Controllers	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CDC.2011.6161348	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CDC.2011.6161348	en
heal.identifier.secondary	6161348	en
heal.publicationDate	2011	en
heal.abstract	This paper proposes novel event-triggered strategies for the control of uncertain nonlinear systems with additive disturbances under robust Nonlinear Model Predictive Controllers (NMPC). The main idea behind the event-driven framework is to trigger the solution of the optimal control problem of the NMPC, only when it is needed. The updates of the control law depend on the error of the actual and the predicted trajectory of the system. Sufficient conditions for triggering are provided for both, continuous and discrete-time nonlinear systems. The closed-loop system evolves to a compact set where it is ultimately bounded, under the proposed framework. The results are illustrated through a simulated example. © 2011 IEEE.	en
heal.journalName	Proceedings of the IEEE Conference on Decision and Control	en
dc.identifier.doi	10.1109/CDC.2011.6161348	en
dc.identifier.spage	3392	en
dc.identifier.epage	3397	en