Estimation of nonlinear ARX model for soft tissue by wavenet and sigmoid estimators

Ayob, M. A. and W. Zakaria, W. N. and Jalani, J. and Nasir, N. Mohamed and Md Tomari, M. R. (2016) Estimation of nonlinear ARX model for soft tissue by wavenet and sigmoid estimators. Journal of Telecommunication, Electronic and Computer Engineering, 8 (7). pp. 123-128. ISSN 21801843

Full text not available from this repository.

Abstract

This paper presents a model-based design technique to estimate the dynamic model of a nonlinear soft tissue phantom using MATLAB Simulink. The soft tissue model was developed using black-box modeling approach; simulations were performed based on acquired set of single input-output data and processed using MATLAB System Identification toolbox. Wavenet and sigmoid estimators were used to acquire the best overall performance. Comparison study has been made between the simulation and experimental results. Our finding shows that the obtained model is sufficient to represent the model of soft tissue phantom with a mean error of 4.12% compared to the real system.

Item Type:Article
Uncontrolled Keywords:System identification; soft tissue modeling; RV-2AJ; MATLAB; simulink; nonlinear ARX
Subjects:T Technology > TJ Mechanical engineering and machinery > TJ210.2-211 Mechanical devices and figures. Automata. Ingenious mechanisms.
Divisions:Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
ID Code:8921
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:13 Aug 2018 11:24
Last Modified:13 Aug 2018 11:24

Repository Staff Only: item control page