Mansour Nikkhah Bahrami - Center of Excellence for Applied Design, Department of Mechanical Engineering, University of Tehran, Tehran, Iran
Ali Saffarpour
Caro Lucas - Center of Excellence for Control and intelligent Processing, Department of Electrical Engineering, University of Tehran, Tehran, Iran

Identification of nonlinear multivariable processes is an attractive field that consists of many difficult real problems. Using fuzzy clustering in system identification has been shown as an effective method to identify dynamic processes but it always consists of common problems such asSISO or eventually MISO plants. In this paper, we exploit an effective method to identify a CD-Player Arm which is multiple-input, multiple-output (MIMO) and highly nonlinear