Learning Controllers from Data via Kernel-Based Interpolation
Author:
Affiliation:
1. Engineering and Technology Institute, University of Groningen,The Netherlands,9747AG
2. DINFO, University of Florence,Florence,Italy,50139
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383421.pdf?arnumber=10383421
Reference33 articles.
1. Optimum Settings for Automatic Controllers
2. On the Sample Complexity of the Linear Quadratic Regulator
3. Learning Robust LQ-Controllers Using Application Oriented Exploration
4. Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
5. Robust data-driven state-feedback design
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1. Data Driven System Identification of Water Distribution Systems via Kernel-Based Interpolation;World Environmental and Water Resources Congress 2024;2024-05-16
2. Exploring the Links Between the Fundamental Lemma and Kernel Regression;IEEE Control Systems Letters;2024
3. Data-Driven Feedback Domination Control of a Class of Nonlinear Systems;IEEE Control Systems Letters;2024
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