Intelligent adaptive control using multiple models

Abstract

The paper is concerned with the intelligent control of linear plant using multiple models. The control algorithm uses a set of models and a switching scheme. The algorithm is starting with no apriori knowledge about the plant. Multiple models used for switching are built during the process using the least-squares identification modified with directional forgetting. New model can be used effectively later whenever the parameters take the original values.