ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers

Abstract: In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS. Fuzzy logic based controllers are capable to deal with non-linear or uncertain systems, which make them particularly well suited for civil engineering applications. The main objective is to develop a semi-active control system with a MR damper to reduce the response of a three degrees-of-freedom (DOFs) building structure. The control system is designed using ANFIS to optimize the fuzzy inference rule of a simple fuzzy logic controller. The results show that the proposed semi-active neuro-fuzzy based controller is effective in reducing the response of structural system.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers ; volume:6 ; number:1 ; year:2016 ; extent:6 ; Open engineering ; 6, Heft 1 (2016) (gesamt 6)

Contributors, Places and Time

• Creator: César, Manuel Braz ; Barros, Rui Carneiro

Further information

• DOI: 10.1515/eng-2016-0075
• URN: urn:nbn:de:101:1-2412141528566.732238418439
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:22 AM CEST