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Found 2 papers, 1 papers with code
Data-Guided Regulator for Adaptive Nonlinear Control
This paper addresses the problem of designing a data-driven feedback controller for complex nonlinear dynamical systems in the presence of time-varying disturbances with unknown dynamics.
On Regularizability and its Application to Online Control of Unstable LTI Systems
Learning, say through direct policy updates, often requires assumptions such as knowing a priori that the initial policy (gain) is stabilizing, or persistently exciting (PE) input-output data, is available.
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