DESROCHERS, ALAN ALFRED

The problem of obtaining information about the structure of an unknown nonlinear system is considered. An algorithm is presented for identifying the structure of a nonlinear system with a set of possible candidates for the model of the system as a priori information. It is shown that for certain categories of functions the algorithm may select a suboptimal model. A detailed analysis of this selection error is presented along with a method for assigning a probability to the occurrence of this error. This identification algorithm is then used to derive setup models for the finishing stands in a hot steel rolling mill. Comparisons are made with the method of least squares which illustrate that the proposed method can be used to obtain a simpler, yet equally effective model. Also, the parameter identification problem is considered along with several methods for on line control of roll force prediction

THE IDENTIFICATION OF NONLINEAR NONDYNAMIC SYSTEMS WITH APPLICATION TO A HOT STEEL ROLLING MILL.

Abstract

Similar works

Full text

Available Versions

Purdue E-Pubs