  Stabilizing control synthesis is one of the central subjects in control
theory and engineering, and it always has to deal with unavoidable
uncertainties in practice. In this study, we propose an adaptive parameter
tuning algorithm for robust stabilizing quantum feedback control of $N$-level
quantum angular momentum systems with a robust stabilizing controller proposed
by [Liang, Amini, and Mason, SIAM J. Control Optim., 59 (2021), pp. 669-692].
The proposed method ensures local convergence to the target state. Besides,
numerical experiments indicate its global convergence if the learning
parameters are adequately determined.
