Model-based periodic event-triggered control for linear systems

By W. M. Heemels, M.C.F. Donkers. at - Automatisierungstechnik, 2013

594 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/86ebeb40cf076dd6f461cebee0b687be8dbb31a1

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In Control and Systems Engineering

Citations in the corpus

Advanced control in factory automation: a survey (2017, methodology): “Exploiting model-based computations allows to reduce communication in event-triggered systems for both the sensor-to-controller and the controller-to-actuator links as shown by Heemels and Donkers (2013) for linear systems using observer-based controllers.”
Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays (2016, background): “However, for systems with heavy transmission burdens and small communication times, it would be desirable to reduce the communication burdens between the sensors and controller nodes [16]–[25].”
Periodic event-triggered control for nonlinear systems (2013, unknown): “Compared to [8], [9], we address nonlinear systems and we emulate a (continuously evaluated) event-triggered controller while the results in [8], [9] start from a periodically sampled controller.”
Periodic Event-Triggered Control for Linear Systems (2013, unknown): “, [22]–[26] and [27, Sec.”
Event-Separation Properties of Event-Triggered Control Systems (2014, background): “, [7], [8], [10]) can greatly benefit from using mixed ETMs instead of relative ETMs, in terms of the number of events that is generated.”
An introduction to event-triggered and self-triggered control (2012, methodology): “Remark 6: Extensions of the observer (36) including disturbance estimators (assuming a suitable linear disturbance model) are possible following the same rationale as in [24].”
Event-based synchronisation of linear discrete-time dynamical networks (2015, background): “Recently, the periodic event-triggered control (PETC) has been proposed in [32, 33].”
Event-triggered sliding mode control of stochastic systems via output feedback (2017, methodology): “Additionally, some model-based techniques (Garcia & Antsaklis, 2013; Heemels & Donkers, 2013) and self-triggered approach (Lemmon, Chantem, Hu, & Zyskowski, 2007) have been exploited for the capability of reducing the number of control task executions while retaining a satisfactory closed-loop…”