Estimation of Nonlinear ARX Model for Soft Tissue by Wavenet and Sigmoid Estimators
Keywords:System Identification, Soft Tissue Modeling, RV-2AJ, MATLAB, Simulink, Nonlinear ARX,
AbstractThis 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.
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