Event-Triggered Prediction-Based Delay Compensation Approach - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles IEEE Control Systems Letters Year : 2022

Event-Triggered Prediction-Based Delay Compensation Approach

Abstract

We provide a new event-triggered delay compensation approach for linear systems with arbitrarily long constant input delays. Our prediction map is expressible as a solution of a discrete time system. Our method ensures input-to-state stability. We also provide an analog under measurement delays, where the prediction map is expressible as a solution of a continuous-discrete system. Significant novel features are our combined use of matrices of absolute values and our prediction based event triggers, instead of Euclidean norms, and the fact that the predictor dynamics always has the same dimension as that of the original system. Our marine robotic example illustrates an advantage of using our new methods.
Fichier principal
Vignette du fichier
PredictionETC.pdf (359.61 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03891443 , version 1 (09-12-2022)

Identifiers

Cite

Frederic Mazenc, Michael Malisoff, Corina Barbalata. Event-Triggered Prediction-Based Delay Compensation Approach. IEEE Control Systems Letters, 2022, 6, ⟨10.1109/LCSYS.2022.3167602⟩. ⟨hal-03891443⟩
20 View
24 Download

Altmetric

Share

Gmail Facebook X LinkedIn More