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...
Saved in:
Main Authors: | Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Journal of Control Systems |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10633771/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tight computationally efficient approximation of matrix norms with applications
by: Juditsky, Anatoli, et al.
Published: (2022-11-01) -
Are internal controls important in financial accountability? (Evidence from Lira District Local Government, Uganda)
by: Eton, Marus, et al.
Published: (2022) -
Internal control systems and financial accountability in Uganda: A case of selected districts in western Uganda
by: Eton, Marus, et al.
Published: (2018) -
Adaptive Neural Network Control for Industrial Optical Tweezers With Uncertain Closed Architecture
by: Gulam Dastagir Khan, et al.
Published: (2025-01-01) -
IMPACT OF MANAGEMENT CONTROL SYSTEM ON THE QUALITY OF TEACHING IN NIGERIAN PUBLIC UNIVERSITIES
by: Abdulfatai Olanrewaju Nurudeen, et al.
Published: (2023-11-01)