Adaptive control based on neural network system identification

Authors:
Hassan E. A. Ibrahim
Affiliations:
Dept. of Electrical and Computer Control Engineering, Arab Academy for Science and Technology, Cairo, Egypt.
Venue:
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
Year:
2012

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Abstract

In adaptive control and system identification the self tuning regulator has wide range of applications. Neural network and artificial intelligence have big role in this area. This paper presents adaptive neural network control based on self tuning regulator (STR) scheme. The paper presents neural network block for on line system identification and discrete PID block controller. Analysis for the whole scheme is presented and simulated for different systems. Adequate desired performance is obtained by comparison with the nominal methods for using self tuning regulator.