Kernel-based identification of asymptotically stable continuous-time linear dynamical systems
Author:
Affiliation:
1. Department of Management, Information and Production Engineering, University of Bergamo, Dalmine (BG), Italy
2. Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2020.1868580
Reference51 articles.
1. Generalized System Identification with Stable Spline Kernels
2. Padé Approximants Second Edition
3. Blind system identification using kernel-based methods**This work was supported by the European Research Council under the advanced grant LEARN, contract 267381 and by the Swedish Research Council under contract 621-2009-4017.
4. Continuous-Time DC Kernel—A Stable Generalized First-Order Spline Kernel
5. On kernel design for regularized LTI system identification
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