Methods for the Identification of Time-Varying Hammerstein Systems with Applications to the Study of Dynamic Joint Stiffness

Author:

Tehrani Ehsan Sobhani,Golkar Mahsa A.,Guarin Diego L.,Jalaleddini Kian,Kearney Robert E.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference17 articles.

1. Convergence of the iterative Hammerstein system identification algorithm;Bai;IEEE Trans. Automatic Control,2004

2. A Nonlinear Model of the Neural Integrator Improves Detection of Deficits in the Human VOR;Chan;IEEE Trans. Biomed. Eng.,2010

3. Linear Parameter-Varying System Identification: New Developments and Trends;dos Santos,2012

4. Identification of a Parametric, Discrete-time Model of Ankle Stiffness.;Guarin;35th IEEE EMBC Conf.,2013

5. Guarin, D. L., & Kearney, R. E. (2015). Identification of Time-Varying, Hammerstein Systems. An Instrumental Variable Approach. 17th IFAC SYSID, Beijing, China.

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