A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging

A Computationally-Efficient Data-Driven Safe Optimal Algorithm Through Control Merging

This article presents a proactive approach to resolving the conflict between safety and optimality for continuous-time (CT) safety-critical systems with unknown dynamics. The presented method guarantees safety and performance specifications by combining two controllers: a safe controller and an opti...

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Bibliographic Details
Main Authors: Marjan Khaledi, Bahare Kiumarsi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Control Systems
Subjects:
Control barrier functions (CBFs)
data-driven initiative controller
optimality
safe control
unknown systems
Online Access:https://ieeexplore.ieee.org/document/10443513/

Internet

https://ieeexplore.ieee.org/document/10443513/

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