An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm
Modeling the muscle response to functional electrical stimulation (FES) is an important step during model-based FES control system design. The Hammerstein structure is widely used in simulating this nonlinear biomechanical response. However, a fixed relationship cannot cope well with the time-varyin...
Saved in:
Main Authors: | Qinlian Yang (Author), Yingqi Li (Author), You Li (Author), Manxu Zheng (Author), Rong Song (Author) |
---|---|
Format: | Book |
Published: |
IEEE,
2024-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On Investigation of the convergence by least square method for solving Fredholm integral
by: Mohammad Hasso, et al.
Published: (2008) -
Multi-Stimulus Least-Squares Transformation With Online Adaptation Scheme to Reduce Calibration Effort for SSVEP-Based BCIs
by: Dandan Li, et al.
Published: (2024) -
Stability indicating analysis of bisacodyl by partial least squares regression, spectral residual augmented classical least squares and support vector regression chemometric models: A comparative study
by: Ibrahim A. Naguib
Published: (2011) -
Implementasi Partial Least Square Dalam Pemodelan Indeks Pembangunan Manusia
by: Andrew Donda Munthe, et al.
Published: (2019) -
Anwendung der Total-Least-Squares-Technik bei geodätischen Problemstellungen
by: Kupferer, Stephan
Published: (2005)