Tuning of a TS Fuzzy Output Regulator Using the Steepest Descent Approach and ANFIS
Joint Authors
Tapia-Herrera, Ricardo
Meda-Campaña, Jesús Alberto
Alcántara-Montes, Samuel
Hernández-Cortés, Tonatiuh
Salgado-Conrado, Lizbeth
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The exact output regulation problem for Takagi-Sugeno (TS) fuzzy models, designed from linear local subsystems, may have a solution if input matrices are the same for every local linear subsystem.
Unfortunately, such a condition is difficult to accomplish in general.
Therefore, in this work, an adaptive network-based fuzzy inference system (ANFIS) is integrated into the fuzzy controller in order to obtain the optimal fuzzy membership functions yielding adequate combination of the local regulators such that the output regulation error in steady-state is reduced, avoiding in this way the aforementioned condition.
In comparison with the steepest descent method employed for tuning fuzzy controllers, ANFIS approximates the mappings between local regulators with membership functions which are not necessary known functions as Gaussian bell (gbell), sigmoidal, and triangular membership functions.
Due to the structure of the fuzzy controller, Levenberg-Marquardt method is employed during the training of ANFIS.
American Psychological Association (APA)
Tapia-Herrera, Ricardo& Meda-Campaña, Jesús Alberto& Alcántara-Montes, Samuel& Hernández-Cortés, Tonatiuh& Salgado-Conrado, Lizbeth. 2013. Tuning of a TS Fuzzy Output Regulator Using the Steepest Descent Approach and ANFIS. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1011028
Modern Language Association (MLA)
Tapia-Herrera, Ricardo…[et al.]. Tuning of a TS Fuzzy Output Regulator Using the Steepest Descent Approach and ANFIS. Mathematical Problems in Engineering No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-1011028
American Medical Association (AMA)
Tapia-Herrera, Ricardo& Meda-Campaña, Jesús Alberto& Alcántara-Montes, Samuel& Hernández-Cortés, Tonatiuh& Salgado-Conrado, Lizbeth. Tuning of a TS Fuzzy Output Regulator Using the Steepest Descent Approach and ANFIS. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1011028
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011028