Braz-César, ManuelBarros, Rui2018-01-312018-02-022018-01-312018-02-022016César, Manuel Braz; Barros, Rui Carneiro (2016). ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers. Open Engineering. ISSN 2391-5439. 6, p. 518-5232391-5439http://hdl.handle.net/10198/15492In 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.engFuzzy logicMR damperSemi-Active controljournal article10.1515/eng-2016-0075