Models of adaptive control system design for nonlinear dynamic plants based on a neural network

Abstract

The present work is dedicated to the control problem of nonlinear dynamic plants with an incomplete mathematical description. The authors consider a synthesis method of adaptive neural networks based on some analytic design principles. The adaptation law is defined via the stabilization condition of the closed-loop system by Lyapunov’s second method.