Intelligent Adaptive Control using Multiple Models

J. Novak and V. Bobal (Czech Republic)


Adaptive control, Multiple model, Least-squares


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.

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