Journal
ISA TRANSACTIONS
Volume 68, Issue -, Pages 189-202Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2017.03.011
Keywords
Power signal; Signal modeling; Parameter estimation; Fractional adaptive algorithms; Nonlinear adaptive strategies
Ask authors/readers for more resources
system. In this study, exploration and exploitation in fractional adaptive signal processing (FrASP) is carried out for identification of parameters in power signals. We design FrASP algorithms based on recently introduced variants of generalized least mean square (LMS) adaptive strategies for parameter estimation of the model. The performance of the proposed fractional adaptive schemes is evaluated for number of scenarios based on step size and noise variations. Results of the simulated system for sufficient large number of independent runs validated the reliability and effectiveness of the given methods through different performance measures in terms of mean square error, variance account for, and Nash Sutcliffe efficiency. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available