Application of Adaptive Filter in Neural Network

Abstract

The snag of common linear filtered Inverse Control (AIC) method is modify to hold with the characteristic of non-linear object with time delay and corresponding filtered ∈-adaptive Algorithm based on Real-Time Recurrent Learning (RTRL) is presented to identify the parameters and d controller. The simulation result on a non model of "The R.O.V. Zeefakkel" and Adaptive PID control keeps the same dynamic response performance, and also mathematical model for ship Course keeping be discussed. A neural network adaptive filter is introduced for the removal of impulse noise in digital images.