منابع مشابه
Event-triggered Learning for Resource-efficient Networked Control
Common event-triggered state estimation (ETSE) algorithms save communication in networked control systems by predicting agents’ behavior, and transmitting updates only when the predictions deviate significantly. The effectiveness in reducing communication thus heavily depends on the quality of the dynamics models used to predict the agents’ states or measurements. Event-triggered learning is pr...
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ژورنال
عنوان ژورنال: Automatica
سال: 2020
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2020.109009