Event-Triggered Control and Interactive LQR Tuning for Improved Control Efficiency

This work investigates the application of event-triggered control (ETC) in combination with the linear quadratic regulator (LQR) for discrete-time systems. A methodology is presented that uses an iterative approach to tune the LQR controller and reduces control effort by replacing periodic control with ETC. Lyapunov’s stability theory is applied to design triggering mechanisms and analyse their effects on control design. Using the inverted pendulum on a cart as a reference system, it is demonstrated that proper tuning of the LQR controller and the implementation of an event-based control mechanism can reduce control energy and actuator effort.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043692
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Event-Triggered Control and Interactive LQR Tuning for Improved Control Efficiency

Erivelton G. Nepomuceno, Ariádne L. J. Bertolin, José Fabiano Vellozo D’Alterio Moreira, Márcio J. Lacerda et al.
Advanced Control Systems Optimization
article

Event-Triggered Control and Interactive LQR Tuning for Improved Control Efficiency

Erivelton G. Nepomuceno, Ariádne L. J. Bertolin, José Fabiano Vellozo D’Alterio Moreira, Márcio J. Lacerda, Josefredo Gadelha Da Silva
article en

Abstract

This work investigates the application of event-triggered control (ETC) in combination with the linear quadratic regulator (LQR) for discrete-time systems. A methodology is presented that uses an iterative approach to tune the LQR controller and reduces control effort by replacing periodic control with ETC. Lyapunov’s stability theory is applied to design triggering mechanisms and analyse their effects on control design. Using the inverted pendulum on a cart as a reference system, it is demonstrated that proper tuning of the LQR controller and the implementation of an event-based control mechanism can reduce control energy and actuator effort.

London Metropolitan University (GB), National University of Ireland, Maynooth (IE), Ocean Energy (Norway) (NO), University of Bath (GB)
EMI, Science Foundation Ireland
Affordable and clean energy
Openalex Percentile: Top 83%
Advanced Control Systems Optimization
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