Nonparametric identification of time-varying human joint admittance

In this study, a nonparametric method, developed in Lataire et al. (2012), is applied to the identification of linear time-varying human joint admittance. The aim of the method, denoted Skirt Decomposition method, is to reconstruct the time-varying system function. The main contribution of the paper is to evaluate the possibilities and...

Skirt Decomposition Method for the Identification of Linear Time-Varying Human Joint Admittance

Human joint admittance changes with numerous factors constituting the operational point. For large changes of the operational point, joint admittance can be identified using Linear Time-Varying methods on torque and angular<br/>position signals measured on human joints. Out of the available methods, the Skirt Decomposition method was selected...

Maximum Likelihood Estimation of Linear Time-Varying Pilot-Vehicle System Parameters

Basis expansion adaptive filters for time-varying system identification

Design of Nonlinear Circuits: The Linear Time-Varying Approach

Over the last years the ever-growing demand for higher performance has led to much interest in using nonlinear circuit concepts for electronic circuit design. For this we have to deal with analysis and synthesis of dynamic nonlinear circuits. This thesis proposes to handle the nonlinear design complexity by dividing the design process in two...