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Bibliographic Details
Main Author: Tariverdi, Abbas
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.01057
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author Tariverdi, Abbas
author_facet Tariverdi, Abbas
contents Feedback control algorithms traditionally rely on periodic execution on digital platforms. While this simplifies design and analysis, it often leads to inefficient resource usage (e.g., CPU, network bandwidth) in embedded control and shared networks. This work investigates self-triggering implementations of linear controllers in sampled-data systems with synchronous measurements. Our approach precomputes the next sampling sequence over a finite horizon based on current state information. We introduce a novel optimal self-triggering scheme that guarantees exponential stability for unperturbed systems and global uniform ultimate boundedness for perturbed systems. This ensures robustness against external disturbances with explicit performance guarantees. Simulations demonstrate the benefits of our approach.
format Preprint
id arxiv_https___arxiv_org_abs_2511_01057
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Robust Self-Triggered Control Approaches Optimizing Sampling Sequences with Synchronous Measurements
Tariverdi, Abbas
Systems and Control
Feedback control algorithms traditionally rely on periodic execution on digital platforms. While this simplifies design and analysis, it often leads to inefficient resource usage (e.g., CPU, network bandwidth) in embedded control and shared networks. This work investigates self-triggering implementations of linear controllers in sampled-data systems with synchronous measurements. Our approach precomputes the next sampling sequence over a finite horizon based on current state information. We introduce a novel optimal self-triggering scheme that guarantees exponential stability for unperturbed systems and global uniform ultimate boundedness for perturbed systems. This ensures robustness against external disturbances with explicit performance guarantees. Simulations demonstrate the benefits of our approach.
title Robust Self-Triggered Control Approaches Optimizing Sampling Sequences with Synchronous Measurements
topic Systems and Control
url https://arxiv.org/abs/2511.01057