single-jc.php

JACIII Vol.7 No.3 pp. 330-338
doi: 10.20965/jaciii.2003.p0330
(2003)

Paper:

Intelligent Control of Nonlinear Dynamic Systems Using Immune Fuzzy Fusion

Dong Hwa Kim

Dept. of Instrumentation and Control Eng., Hanbat National University, 16-1 San Duckmyong-Dong Yuseong-Gu, Daejon City Seoul, 305-719 Korea

Received:
July 1, 2003
Accepted:
August 26, 2003
Published:
October 20, 2003
Keywords:
immune algorithm, nonlinear system, fuzzy system, artificial intelligence, inverted pendulum
Abstract

We propose nonlinear control using immune-algorithm-based fuzzy logic. Nonlinear dynamic systems include chemical and biomedical processes and mainsteam temperature control at thermal power plants. PID controllers are conventionally used to operate these systems, but using these requires experience, often based on trial and error to tune them. We use an inverted pendulum control problem to demonstrate the efficiency of the proposed method and define the relationship of state variables using immune fuzzy logic. Simulation results show the effectiveness of the tuning algorithm, but study experiments are needed before actual application.

Cite this article as:
Dong Hwa Kim, “Intelligent Control of Nonlinear Dynamic Systems Using Immune Fuzzy Fusion,” J. Adv. Comput. Intell. Intell. Inform., Vol.7, No.3, pp. 330-338, 2003.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Oct. 21, 2021