Paper Info
Title
Kernel-Based Continuous-Time Identification Of Hammerstein Models: Application To The Case Of Ankle Joint Stiffness Dynamics
Abstract
This paper deals with a new practical approach to continuous-time parametric identification for dynamic models in Hammerstein form and its application in the context of estimating the dynamics of joint stiffness. The proposed methodology deals the static non-linearities as a linear combination of nonlinear basis functions, while the linear dynamic parts of the system are modeled by a parametric rational transfer function. The proposed identification method is enabled by the algebra of Volterra linear integral operators by a suitable design of kernels admitting finite-dimensional and internally stable statespace realizations. Simulation results show the effectiveness of the proposed continuous-time identification technique.
Year
Venue
Keywords
2015
2015 EUROPEAN CONTROL CONFERENCE (ECC)
mathematical model,torque,kernel,linear systems,transfer functions
Field
DocType
Citations 
Kernel (linear algebra),Joint stiffness,Linear combination,Nonlinear system,Linear system,Control theory,Parametric statistics,Transfer function,Basis function,Mathematics
Conference
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Andrea Assalone141.72
Gilberto Pin213617.21
T Parisini3935113.17