Алгоритм обучения субоптимальному по быстродействию управлению динамической системой второго порядка без нулевых полюсов

Abstract

The problem of the time-suboptimal control for the second order system without zero poles in the absence of a priori information about its parameters is considered. Within adaptive approach, an algorithm for trainable controllers is created, that algorithm based on the nonlinearly parameterized procedure learning pattern recognition. The results of simulation are given.