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Abstract: Accurate parameter estimation is vital in instrumentation and measurement, especially for modeling dynamic systems based on measurement data. Recurrent networks have been widely adopted for ...
Copyright © 2026 Insider Inc and finanzen.net GmbH (Imprint). All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Service ...
Abstract: This article investigates event-triggered cooperative adaptive optimal output regulation for unknown discrete-time multiagent systems (MASs) with input saturation. To address the issue that ...
Modern machine learning systems often rely on Platonic or Aristotelian ontologies, treating concepts as fixed forms or sets of attributes. While effective for traditional classification, such ...
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