Utilizing global-best harmony search to train a PID-like ANFIS controller

Utilizing global-best harmony search to train a PID-like ANFIS controller

This paper presents a PID-like adaptive neuro-fuzzy inference system (ANFIS) controller that can be trained by the global-best harmony search (GHS) technique to control nonlinear systems. Instead of the hybrid learning methods that are widely used in the literature to train the ANFIS structure, the...

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Bibliographic Details
Main Authors: Lutfy, Omar F., Mohd Noor, Samsul Bahari, Marhaban, Mohammad Hamiruce, Abbas, Kassim A.
Format: Article
Language:English
Published: American-Eurasian Network for Scientific Information 2010
Online Access:http://psasir.upm.edu.my/id/eprint/22929/
http://psasir.upm.edu.my/id/eprint/22929/1/Utilizing%20global-best%20harmony%20search%20to%20train%20a%20PID-like%20ANFIS%20controller.pdf

Internet

http://psasir.upm.edu.my/id/eprint/22929/
http://psasir.upm.edu.my/id/eprint/22929/1/Utilizing%20global-best%20harmony%20search%20to%20train%20a%20PID-like%20ANFIS%20controller.pdf

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