01520nam a2200217 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002300109245008400132260003400216300004500250502009400295504002800389520082200417650002401239650002401263650001501287vtls000075887KUKTEM20251114204550.0131107t2012    my da  f m    000 0 eng d  aTHE0005510(Local)  aUMP0 aMohd Ridzwan Ramli10aModeling magneto-rheological damper using ANFIS method /cMohd Ridzwan Hj Ramli  aKuantan, Pahang :bUMP,c2012  axvi, 53 p. :bill. ;c30 cm. +e1 CD-ROM  aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang – 2012  aBibliography : p. 48-503 aThis thesis focused on the development Modeling Magneto-Rheological damper using Adaptive Neuro-Fuzzy Inference System (ANFIS) method. Magneto-Rheological (MR) damper is a semi-active control device and has been characterized by a set of nonlinear differential equations which represent a model of the MR damper. By using this mathematical model, the force of the MR damper is directly solved to a given displacement and applied current. However, solving the non-linear equations describing the performance of the MR damper may be difficult or time consuming to predict a required voltage. One of the methods to model the MR damper is using (ANFIS).It is faster than the mathematical model for keeping the error small. ANFIS has been effectively applied to model complex systems because of its great training process. 0aMagnetic suspension 0aDamping (Mechanics) 0aFuzzy sets