Practical aspects of self-tuning controllers

Abstract

The contribution presents a class of Single Input Single Output (SISO) discrete self-tuning controllers suitable for industrial applications. The proposed adaptive controllers can be divided into three groups. The first group covers PID adaptive algorithms with using of traditional methods. The second group is based on polynomial solutions of control problems and the third group is derived from the use of the minimization of linear quadratic criterion. All types of algorithms were unified and incorporated into a Matlab - like Toolbox for self-tuning control. Copyright © 1999 John Wiley & Sons, Ltd.