Genetic algorithm and Elman network used for tuning the parameters of the PID neural controller based model reference
Author
al-Araji, Ahmad Sabah Abd al-Amir
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 5, Issue 1 (30 Jun. 2005), pp.94-109, 16 p.
Publisher
Publication Date
2005-06-30
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Abstract EN
A neural network-based self-tuning PID controller is presented.
The scheme of the controller is based on using a modified Elman recurrent neural network as a selftuner for (PID) controller.
The proposed method has the advantage of not necessarily using a combined structure of identification and decision, common in a standard selftuning controller, because it uses a genetic algorithm based model reference.
The paper explains the algorithm for a general case, and then presents a specific application on non-linear dynamical plant.
American Psychological Association (APA)
al-Araji, Ahmad Sabah Abd al-Amir. 2005. Genetic algorithm and Elman network used for tuning the parameters of the PID neural controller based model reference. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 5, no. 1, pp.94-109.
https://search.emarefa.net/detail/BIM-361578
Modern Language Association (MLA)
al-Araji, Ahmad Sabah Abd al-Amir. Genetic algorithm and Elman network used for tuning the parameters of the PID neural controller based model reference. Iraqi Journal of Computer, Communications and Control Engineering Vol. 5, no. 1 (2005), pp.94-109.
https://search.emarefa.net/detail/BIM-361578
American Medical Association (AMA)
al-Araji, Ahmad Sabah Abd al-Amir. Genetic algorithm and Elman network used for tuning the parameters of the PID neural controller based model reference. Iraqi Journal of Computer, Communications and Control Engineering. 2005. Vol. 5, no. 1, pp.94-109.
https://search.emarefa.net/detail/BIM-361578
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 104-109
Record ID
BIM-361578