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Authors
Advisor(s)
Abstract(s)
Fuzzy controllers have been successfully applied to a wide range of engineering problems due its robustness and the ability to deal with non-linear plants. Despite the inherent advantages of these controllers, there is no systematic technique for converting human knowledge into the rule base of a fuzzy inference system. Adaptive neuro-fuzzy inference system (ANFIS) is an artificial intelligence technique that has been successfully used for mapping input-output relationships based on available data sets, i.e., to automatically adjust a fuzzy inference system with a backpropagation algorithm based on training data. This paper presents the application of a ANFIS model to optimize the parameters of a fuzzy controller for structural control of a building structure using a MR damper. The results obtained with the neuro-fuzzy controller are compared with those of a passive control modes to assess the performance of the proposed control system in reducing the seismic response of the structure.
Description
Keywords
Fuzzy control Structural control MR dampers Seismic control ANFIS
Citation
Braz-César, M.T.; Barros, Rui (2015). Optimization of a fuzzy logic controller for MR dampers using ANFIS. In ICEUBI2015 - International Conference on Engineering University of Beira Interior – Engineering for Society. Covilhã. ISBN 978-989-654-260-3
Publisher
Universidade da Beira Interior