The adaptive Robbins — Monro procedure in the case of continuous time

The adaptive multi-dimensional Robbins — Monro procedure of stochastic approximation is considered for the case where random noises make up a Gaussian «white» noise. Under certain conditions this procedure is shown to be asymptotically normal with the extreme normal law featuring a minimal, in a sense, covariance matrix.