English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/129618
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

Fuzzy optimal control using generalized Takagi-Sugeno model for multivariable nonlinear systems

AuthorsAl-Hadithi, Basil Mohammed ; Jiménez, Agustín ; Galán López, Ramón
KeywordsMultivariable nonlinear systems
Takagi–Sugeno model
Linear quadratic regulator
Issue Date2015
PublisherElsevier
CitationApplied Soft Computing Journal 30: 205- 213 (2015)
AbstractIn this work, the main objective is to obtain enhanced performance of nonlinear multivariable systems. Several algorithms of Fuzzy Logic Controller based Linear Quadratic Regulator (FLC-LQR) are presented. The multivariable nonlinear system is represented by a generalized Takagi¿Sugeno (T¿S) model developed by the authors in previous works. This model has been improved using the well known weighting parameters approach to optimize local and global approximation. In comparison with existent works, the proposed controller is based on the calculation of the control action in each point of the state space according to the dynamic properties of the nonlinear system at that point. This control methodology offers a robust, well damped dynamic response and zero steady state error when the system is subjected to disturbances and modeling errors. A two-link robot system is chosen to evaluate the robustness of the proposed controller algorithms.
URI10261/129618
DOIhttp://dx.doi.org/10.1016/j.asoc.2015.01.063
Identifiersdoi: 10.1016/j.asoc.2015.01.063
issn: 1568-4946
Appears in Collections:(CAR) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.