Application of Nerual Network in the Prediction of Self-Oscillations and Signal Stabilization in Non-Linear Multivariable Systems

Abstract

In this paper attention is directed to the systematic development of possible structure of nonlinear multivariable system for the prediction of self-oscilations and signal stabilization. The generalization of the technique along with the application of Neural Network provides explicit and novel insight into the problem of greater complexity. The technique so developed has been illustrated through example and its accuracy has been substaintiated comparing with the result from digital simulation.