Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network

Sutrisno, Imam and Hu, Jinglu and Abu Jami’in, Mohammad (2014) Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network. Artif Life Robotics (19). pp. 22-26. ISSN 10015-013-0137-6

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Abstract

In this article, a fuzzy adaptive controller approach is presented for nonlinear systems. The proposed quasi-ARX neural network based on Lyapunov learning algorithm is used to update its weight for prediction model as well as to modify fuzzy adaptive controller. The improving performances of the Lyapunov learning algorithm are stable in the learning process of the controller and able to increase the accuracy of the controller as well as fast convergence of error. The simulations are intended to show the effectiveness of the proposed method

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Jurusan Teknik Kelistrikan Kapal > Teknik Kelistrikan Kapal
Depositing User: Unnamed user with email repository@ppns.ac.id
Date Deposited: 22 Jan 2019 07:28
Last Modified: 28 Jan 2019 02:58
URI: http://repository.ppns.ac.id/id/eprint/1403

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