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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Updated 22 Dec 2016

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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 (2024). 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 .

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Created with R2011a
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Plant_Identification_RVP_FLMS/

Version Published Release Notes
1.0.0.0