Signal estimation is important for protection, system study, and control purposes. This paper deals with the application of a modified recursive least squares algorithm, based on a variable forgetting factor, for estimation of frequency components in a generic input signal. Application areas such as synchronization and control in three- and single-phase systems for various grid conditions as well as estimation of harmonic and subsynchronous components will be discussed. Advantages of the proposed method over the available techniques in terms of estimation speed, frequency selectivity, and noise rejection capability will be described. Finally, simulation and experimental results will be used to evaluate the dynamic performance of the propose...
A nonparametric method for estimating frequency responses in real-time using a method based on recur...
In this paper, we deal with deterministic dominance of stochastic equations. The obtained results le...
This paper presents results of evaluation of Recursive Least Squares (RLS) algorithm for real time a...
Signal estimation is important for protection, system study, and control purposes. This paper deals ...
Signal estimation is important for protection, systemstudy and control purposes. This paper deals wi...
Abstract—The performance of the recursive least-squares (RLS) algorithm is governed by the forgettin...
This paper deals with the application of the Recursive Least Square (RLS) algorithm for estimation o...
Frequency response estimation Recursive least-squares fitting response at the oscillation frequency....
WOS: 000277170100005H. H. Sayan, M. Kahraman, i. Kosalay. Simulation of Frequency Spectrum of Electr...
This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A n...
International audienceThis paper proposes a frequency-adaptive weighted least squares-based algorith...
Mitigation of the effects of tonal noise and vibration has importance across a wide range of applica...
Abstract In this work, we present low-complexity variable forgetting factor (VFF) techniques for dif...
International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, ...
A number of methods have been proposed and implemented to improve system damping against low-frequen...
A nonparametric method for estimating frequency responses in real-time using a method based on recur...
In this paper, we deal with deterministic dominance of stochastic equations. The obtained results le...
This paper presents results of evaluation of Recursive Least Squares (RLS) algorithm for real time a...
Signal estimation is important for protection, system study, and control purposes. This paper deals ...
Signal estimation is important for protection, systemstudy and control purposes. This paper deals wi...
Abstract—The performance of the recursive least-squares (RLS) algorithm is governed by the forgettin...
This paper deals with the application of the Recursive Least Square (RLS) algorithm for estimation o...
Frequency response estimation Recursive least-squares fitting response at the oscillation frequency....
WOS: 000277170100005H. H. Sayan, M. Kahraman, i. Kosalay. Simulation of Frequency Spectrum of Electr...
This paper is concerned with studying the forgetting factor of the recursive least square (RLS). A n...
International audienceThis paper proposes a frequency-adaptive weighted least squares-based algorith...
Mitigation of the effects of tonal noise and vibration has importance across a wide range of applica...
Abstract In this work, we present low-complexity variable forgetting factor (VFF) techniques for dif...
International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, ...
A number of methods have been proposed and implemented to improve system damping against low-frequen...
A nonparametric method for estimating frequency responses in real-time using a method based on recur...
In this paper, we deal with deterministic dominance of stochastic equations. The obtained results le...
This paper presents results of evaluation of Recursive Least Squares (RLS) algorithm for real time a...