PID autotuning using neural networks and model reference adaptive control

K. Pirabakaran; Victor Manuel Becerra

PID autotuning using neural networks and model reference adaptive control

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes the application of artificial neural networks for automatic tuning of PID controllers using the Model Reference Adaptive Control approach. The effectiveness of the proposed method is shown through a simulated application.

Original language	Undefined/Unknown
Title of host publication	15th Triennial World Congress of the International Federation of Automatic Control (IFAC)
Publication status	Published - 2002

Keywords

autotuners, PID control, model reference adaptive control, neural networks, back-propagation

Cite this

@inproceedings{7d9fa3d10a004fbdab4f42358a43bee8,

title = "PID autotuning using neural networks and model reference adaptive control",

abstract = "This paper describes the application of artificial neural networks for automatic tuning of PID controllers using the Model Reference Adaptive Control approach. The effectiveness of the proposed method is shown through a simulated application.",

keywords = "autotuners, PID control, model reference adaptive control, neural networks, back-propagation",

author = "K. Pirabakaran and Becerra, {Victor Manuel}",

year = "2002",

language = "Undefined/Unknown",

booktitle = "15th Triennial World Congress of the International Federation of Automatic Control (IFAC)",

}

TY - GEN

T1 - PID autotuning using neural networks and model reference adaptive control

AU - Pirabakaran, K.

AU - Becerra, Victor Manuel

PY - 2002

Y1 - 2002

N2 - This paper describes the application of artificial neural networks for automatic tuning of PID controllers using the Model Reference Adaptive Control approach. The effectiveness of the proposed method is shown through a simulated application.

AB - This paper describes the application of artificial neural networks for automatic tuning of PID controllers using the Model Reference Adaptive Control approach. The effectiveness of the proposed method is shown through a simulated application.

KW - autotuners, PID control, model reference adaptive control, neural networks, back-propagation

M3 - Conference contribution

BT - 15th Triennial World Congress of the International Federation of Automatic Control (IFAC)

ER -