Fractional Volterra LMS algorithm with application to Hammerstein control autoregressive model identification
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Title
Fractional Volterra LMS algorithm with application to Hammerstein control autoregressive model identification
Authors
Keywords
Nonlinear system identification, Fractional adaptive signal processing, Hammerstein models, Volterra LMS, Nonlinear adaptive strategies
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-02-01
DOI
10.1007/s00521-018-3362-z
References
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- (2015) Fatemeh Khani et al. CHEMICAL ENGINEERING SCIENCE
- A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems
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- (2015) Hector M. Romero Ugalde et al. NEUROCOMPUTING
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- (2015) Naveed Ishtiaq Chaudhary et al. NONLINEAR DYNAMICS
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- (2014) Huibo Chen et al. NONLINEAR DYNAMICS
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