Numerical simulations demonstrate that combining extremum-seeking command generation with predictive cost adaptive control enables asymptotic optimization of unknown costs alongside stabilization and disturbance rejection.
Data-driven model predictive control of airfoil flow separation
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A Numerical Investigation of Extremum-Seeking-Based Command Generation for Adaptively Controlled Systems
Numerical simulations demonstrate that combining extremum-seeking command generation with predictive cost adaptive control enables asymptotic optimization of unknown costs alongside stabilization and disturbance rejection.