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Event-triggered Control and Online Learning for Networked Systems under Computational Delays

Paper recorded by Signals 4 on 2026-08-30 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-30 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.LG · 机器学习 · first seen 2026-09-01

Abstract

Online learning-based control is a promising approach to control uncertain systems, where unknown components are identified during operation to improve control performance. However, resource-intensive online learning algorithms introduce non-negligible computational delays, especially when executed on systems with limited local computational resources. To mitigate this, an in-network online learni

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#193 most recent of 215 cs.LG papers we have recorded · ↑ newer: Predicting the Unpredictable: LLM-powered Long-term Chaotic Time Serie · ↓ older: TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Op
Cite this page: Event-triggered Control and Online Learning for Networked Systems under Computational Delays: the #193 most recent of 215 cs.LG papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/event-triggered-control-and-online-learning-for-networked-systems-under-computat.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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