Daftar Isi: Modeling of Coupled-Tank System Using Fuzzy Takagi-Sugeno Model

Main Author:	Subiantoro, Aries
Format:	Book application/pdf Journal
Terbitan:	UI Scholars Hub , 2006
Subjects:	System modeling fuzzy Takagi-Sugeno fuzzy clustering coupled-tank Chemical Engineering Civil Engineering Computer Engineering Electrical and Electronics Materials Science and Engineering Mechanical Engineering Metallurgy Ocean Engineering Structural Engineering
Online Access:	https://scholarhub.ui.ac.id/mjt/vol10/iss1/5 https://scholarhub.ui.ac.id/cgi/viewcontent.cgi?article=1073&context=mjt

Daftar Isi:

Modeling of Coupled-Tank System Using Fuzzy Takagi-Sugeno Model. This paper describes modeling of coupledtank system based on data measurement using fuzzy Takagi-Sugeno model. The fuzzy clustering method of Gustafson- Kessel algorithm is used to classify input-output data into several clusters based on distance similarity of a member of input-output data from center of cluster. The formed clusters are projected orthonormally into each linguistic variables of premise part to determine membership function of fuzzy Takagi-Sugeno model. By estimating data in each cluster, the consequent parameters of fuzzy Takagi-Sugeno model are calculated using weighted least-squares method. The resulted fuzzy Takagi-Sugeno model is validated by using model performance parameters variance-accounted-for (VAF) and root mean square (RMS) as performance indicators. The simulation results show that the fuzzy Takagi-Sugeno model is able to mimic nonlinear characteristic of coupled-tank system with good value of model performance indicators.