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.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: 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)

Beteiligte, Orts- und Zeitangaben

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

Weitere Informationen

• DOI: 10.1515/eng-2016-0075
• URN: urn:nbn:de:101:1-2412141528566.732238418439
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 15.08.2025, 07:22 MESZ