Intelligent Learning Control.

P.J. Antsaklis
Guest Editor's Introduction

IEEE Control Systems, Vol.15, No.3, pp. 5-7, June 1995; Special Issue on 'Intelligence and Learning' of the IEEE Control Systems Magazine,
Vol.15, No.3, pp. 5-80, June 1995.

Abstract -- Learning is an important dimension or attribute of intelligent control. Highly autonomous behavior is a very desirable characteristic of advanced control systems so they perform well under changing conditions in the plant and the environment (even in the control goals), without external intervention. This requires the ability to adapt to changes affecting, in a significant manner, the operating region of the system. Adaptive behavior of this type is not typically offered by conventional control systems. Additional decision-making abilities should be added to meet the increased control requirements. The controller's capacity to learn from past experiences is an integral part of such highly autonomous controllers. The goal of introducing learning methods in control is to broaden the region of operability of conventional control systems. Therefore, the ability to learn is one of the fundamental attributes of autonomous intelligent behavior.

Journal Submission [pdf file]