Robust Stability in Multivariable Neural Network Control Using Harmonic Analysis

Date Added: Aug 2010
Format: PDF

Robust stability and performance are the two most basic features of feedback control systems. The harmonic balance analysis technique enables to analyze the stability of limit cycles arising from a neural network control based system operating over nonlinear plants. In this paper a robust stability analysis based on the harmonic balance is presented and applied to a neural based control of a non-linear binary distillation column with unstructured uncertainty. They develop ways to describe uncertainty in the form of neglected nonlinear dynamics and high harmonics for the plant and controller respectively.