Learning to Boost the Performance of Stable Nonlinear Systems
The growing scale and complexity of safety-critical control systems underscore the need to evolve current control architectures aiming for the unparalleled performances achievable through state-of-the-art optimization and machine learning algorithms. However, maintaining closed-loop stability while...
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Main Authors: | Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Open Journal of Control Systems |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10633771/ |
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