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conference paper
Nonlinear Data-Enabled Prediction and Control
September 1, 2021
Proceedings of the 3rd Conference on Learning for Dynamics and Control
Behavioral theory, which characterizes linear dynamics with measured trajectories, has found successful applications in controller design and signal processing. However, the extension of behavioral theory to general nonlinear system remains an open question. In this work, we propose to apply behavioral theory to a reproducing kernel Hilbert space in order to extend its application to a class of nonlinear systems and we show its application in prediction and in predictive control.
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Name
lian21a.pdf
Type
postprint
Access type
openaccess
License Condition
CC BY-NC-ND
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426.12 KB
Format
Adobe PDF
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