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


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

July 1, 2003
August 26, 2003
October 20, 2003
immune algorithm, nonlinear system, fuzzy system, artificial intelligence, inverted pendulum
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:
D. 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.
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Last updated on Apr. 22, 2024