A survey on active noise control in the past decade—Part I: Linear systems
Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic
or electromechanical systems. Since its first introduction in 1936, this approach has been …
or electromechanical systems. Since its first introduction in 1936, this approach has been …
A frequency-domain output-constrained active noise control algorithm based on an intuitive circulant convolutional penalty factor
Due to their computational efficiency, least mean square (LMS)–based algorithms are still
widely utilized to achieve optimal control in active noise control (ANC) applications. Real …
widely utilized to achieve optimal control in active noise control (ANC) applications. Real …
Least mean squares and recursive least squares algorithms for total harmonic distortion reduction using shunt active power filter control
This paper deals with the use of least mean squares (LMS, NLMS) and recursive least
squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active …
squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active …
Generalization of the gradient method with fractional order gradient direction
Fractional calculus is an efficient tool, which has the potential to improve the performance of
gradient methods. However, when the first order gradient direction is generalized by …
gradient methods. However, when the first order gradient direction is generalized by …
Parameter estimation for pseudo‐linear systems using the auxiliary model and the decomposition technique
F Ding, F Wang, L Xu, T Hayat… - IET Control Theory & …, 2017 - Wiley Online Library
This study focuses on the parameter identification problems of pseudo‐linear systems. The
main goal is to present recursive least squares (RLS) estimation methods based on the …
main goal is to present recursive least squares (RLS) estimation methods based on the …
Identification for Hammerstein nonlinear ARMAX systems based on multi-innovation fractional order stochastic gradient
A multi-innovation fractional order stochastic gradient (MIFOSG) algorithm, which involves a
variable initial value scheme, is investigated to identify the Hammerstein nonlinear ARMAX …
variable initial value scheme, is investigated to identify the Hammerstein nonlinear ARMAX …
Towards automated statistical partial discharge source classification using pattern recognition techniques
H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …
discharge (PD) source identification and probabilistic interpretation of the classification …
Fractional‐order deep backpropagation neural network
C Bao, Y Pu, Y Zhang - Computational intelligence and …, 2018 - Wiley Online Library
In recent years, the research of artificial neural networks based on fractional calculus has
attracted much attention. In this paper, we proposed a fractional‐order deep …
attracted much attention. In this paper, we proposed a fractional‐order deep …
An innovative fractional order LMS based on variable initial value and gradient order
This article presents a novel fractional order LMS (FOLMS) algorithm, which involves a
variable gradient order scheme. The fractional order gradient descent method is revisited …
variable gradient order scheme. The fractional order gradient descent method is revisited …
An enhanced fractional least mean square filter encountering the specific unknown system vector
This brief proposes an enhanced fractional derivative that can prevent the tap weight
coefficients from destroying the gradient information, solve the problem caused by the …
coefficients from destroying the gradient information, solve the problem caused by the …