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