Aerodynamic parameter estimation is critical in the aviation sector, especially design and development programs of defense-military aircraft. In this paper, new results application Artificial Neural Networks (ANN) to field aircraft are presented. The performances Feedforward Network (FFNN) with Backpropagation FFNN using Recursive Least Square (RLS) investigated for aerodynamic estimation. meth...

The recursive least squares (RLS) algorithm is well known for its good convergence property and small mean square error in stationary environments. However RLS using constant forgetting factor cannot provide satisfactory performance in time varying environments. In this seminar, three variable forgetting factor (VFF) adaptation schemes for RLS are presented in order to improve the tracking perf...

This article describes a parallel OpenMP and/or MPI implementation of an algorithm for solving the Recursive Least Squares (RLS) problem, suitable for heterogeneous parallel systems. A model for automatic/adaptive load balancing is proposed for either homogeneous or heterogeneous parallel systems. The algorithm is based on a variant of the Kalman Filter named the square root and extended versio...

This paper presents an adaptive filtering method for removing ocular artifacts in the electroencephalogram (EEG) records. The major concern in analyzing EEG signals is the presents of ocular artifacts in EEG records caused due to various factors. It has become necessary to design specific filters to remove the artifacts in EEG records. In this method, we propose an adaptive filtering method, wh...

An equivalent circuit model of dual polarization (DP) lithium battery was established according to the application characteristics under standby condition 5G base station. On basis model, recursive least square method with forgetting factor (RLS) used identify parameters. Finally, Unscented Kalman filtering (UKF) estimate SOC in real time identified The simulation and experimental results showe...

The aim of the given paper is a development of the direct approach used for the estimation of parameters of a closed-loop discrete-time dynamic system in the case of additive noise with outliers contaminated uniformly in it (Fig. 1). To calculate M -estimates of unknown parameters of such a system by means of processing input and noisy output observations (Fig. 2), the recursive robust H-techni...

In this paper, a new multichannel modified filtered-x (MFX) recursive least square (RLS) algorithm for active noise control (ANC) based on leading element dichotomous co-ordinate descent (LEDCD) iterations is proposed. It is shown that the proposed algorithm has less than half of the complexity of MFX fast transversal filter (FTF) algorithm with good performance for ideal plant models and impro...

Formant frequencies, represented by major peaks in the spectrum of speech signals, convey important information about speech. The authors propose a method for detecting the formants of voiced speech through ‘instantaneous frequency’ (IF) estimation using a recursive least square (RLS) algorithm. The accuracy of the technique is assessed by comparing it with conventional formant detection techni...

Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a selftuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. A recursive least square (RLS) method with covariance resetting techn...