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Chebyshev Functional Link Spline Neural Filter for Nonlinear Dynamic System Identification

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
In order to increase the nonlinear fitting performance of functional link neural network (FLNN), a novel chebyshev functional link spline neural filter (CFLSNF) to apply in system identification is proposed.
Zhao Zhang, Jiashu Zhang
semanticscholar   +1 more source

Recursive Chebyshev Functional Link Adaptive Filter for Sparse Nonlinear System Identification with impulsive noise interference

2022 3rd International Conference for Emerging Technology (INCET), 2022
A Chebyshev polynomial expansion based functional link adaptive filter is introduced for the identification of nonlinear sparse system with the interference of impulsive noise environment in this manuscript.
Vasundhara
exaly   +2 more sources

Chebyshev Functional Link Neural Network integrating FIR Filter Architecture for Power Amplifier Linearization

IEEE International Conference on Consumer Electronics, 2022
Chebyshev polynomial functional link neural networks (FLNN) integrating FIR filter architecture for power amplifier linearization is proposed. Furthermore, considering the system implementation and resources, we simplify the Chebyshev polynomials in the ...
Jijun Ren
exaly   +2 more sources

Zero-attracting Chebyshev Functional Link Adaptive Filter for Nonlinear System Identification

2022 3rd International Conference for Emerging Technology (INCET), 2022
Identification of nonlinear system in sparse environment employing a functional link adaptive filter based on Chebyshev polynomial expansion and l1-norm regularization is introduced in this paper.
Anusua Das, Vasundhara
semanticscholar   +1 more source

Time delay Chebyshev functional link artificial neural network

Neurocomputing, 2019
In real applications, a time delay in the parameter update of the neural network is sometimes required. In this paper, motivated by the Chebyshev functional link artificial neural network (CFLANN), a new structure based on the time delay adaptation is ...
Lu Lu, Yi Yu, Xiaomin Yang
exaly   +2 more sources

Bounds for the Chebyshev functional and applications to the weighted integral formulae

Applied Mathematics and Computation, 2015
Josip E Pečarić   +1 more
exaly   +2 more sources

Fractional Chebyshev functional link neural network‐optimization method for solving delay fractional optimal control problems with Atangana‐Baleanu derivative

Optimal control applications & methods, 2020
In this article, we propose a higher order neural network, namely the functional link neural network (FLNN), for the model of linear and nonlinear delay fractional optimal control problems (DFOCPs) with mixed control‐state constraints. We consider DFOCPs
Farzaneh Kheyrinataj, A. Nazemi
semanticscholar   +1 more source

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