RVP-FLMS : A Robust Variable Power Fractional Least Mean Square Algorithm
RVP-FLMS : A Robust Variable Power Fractional Least Mean Square Algorithm for Plant Identification
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In this submission, a robust variable power fractional least mean square (RVP-FLMS) algorithm is implemented for the problem of plant identification. The RVP-FLMS algorithm was presented in ICCSCE 2016 – the 6th IEEE International Conference on Control Systems, Computing and Engineering.
Reference:
J. Amhad, M. Usman, S. Khan, I. Naseem, and H. J. Syed, “RVP-FLMS: A robust variable power fractional lms algorithm,” in 2016 IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2016.
Cite As
Shujaat Khan (2026). RVP-FLMS : A Robust Variable Power Fractional Least Mean Square Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/60861-rvp-flms-a-robust-variable-power-fractional-least-mean-square-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (25.8 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
