Gradient estimation algorithm based on the Kalman filter

This article presents a recursive algorithm for gradient estimation in extreme control systems based on the Kalman filter. The key features of the algorithm is a representation of the dynamic component object model in the state space, as well as an approximation of the objective function Taylor series in the area which is close to extremum. Experiments show a relatively high accuracy of the estimation of gradient, as well as good noise immunity of the algorithm.