Input-to-state stability for system identification with continuous-time Runge–Kutta neural networks
Author:
Affiliation:
1. Chair of Machine Tools and Control Systems, Technical University Kaiserslautern, Kaiserslautern, Germany
2. German Research Center for Artificial Intelligence, Kaiserslautern, Germany
3. Durst Group AG, Brixen, Italy
Funder
German Federal Ministry of Education and Research
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2021.1978555
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