Abstract: An approach to safe and fast online learning of constraints for a continuous-time linear system subject to linear inequality constraints is developed, assuming that the number of constraints ...
Abstract: Ensuring constraint satisfaction in control systems without relying on accurate models is essential for real-world applications. Learning-based Reference Governors (LRGs) address this ...
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