Results 31 to 40 of about 794 (150)

Forty Years of Empirical Evidence of Cointegration and Nonlinear Equilibrium Correction in UK Money Demand Since the XIXth Century

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT Since the seminal contributions of Friedman and Schwartz and of Hendry and Ericsson, instability in money demand has remained a central issue in the literature. This study broadens and generalizes the first evidence for the United Kingdom of stable long‐ and short‐run broad money demand extending back to the nineteenth century. Using nonlinear
Álvaro Escribano, Juan‐Andrés Rodríguez, Miguel A. Arranz   +2 more
wiley   +1 more source

New Insights into the RLS Algorithm

EURASIP Journal on Advances in Signal Processing, 2004
The recursive least squares (RLS) algorithm is one of the most popular adaptive algorithms that can be found in the literature, due to the fact that it is easily and exactly derived from the normal equations.
Gänsler Tomas, Benesty Jacob
doaj   +1 more source

Low-Complexity Self-Interference Cancellation for Multiple Access Full Duplex Systems

Sensors, 2022
Self-interference occurs when there is electromagnetic coupling between the transmission and reception of the same node; thus, degrading the RX sensitivity to incoming signals.
Shachar Shayovitz, Andrey Krestiantsev, Dan Raphaeli   +2 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 3, Page 544-564, March 2026.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Shaping energy cost management in process industries through clustering and soft sensors

Frontiers in Energy Research, 2023
With the ever-increasing growth of energy demand and costs, process monitoring of operational costs is of great importance for process industries.
Yu Lu, Gang Fang, Gang Fang, Daoping Huang, Daoping Huang, Baoping Cai, Hongtian Chen, Yiqi Liu, Yiqi Liu   +8 more
doaj   +1 more source

Hyperparameter‐Free Maximum Versoria Criterion Based Channel‐State Acquisition for mmWave Hybrid MIMO With Hardware Impairments

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra, Sandesh Jain, K. Venkateswaran, Rajat Kumar, Vimal Bhatia, Ondrej Krejcar   +5 more
wiley   +1 more source

Speed‐Sensorless Model‐Free Predictive Torque Control for Induction Motor Drive

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
A speed‐sensorless MF‐PTC based on EKF is proposed for a 2L‐VSI‐fed IM drive to reduce the overall cost and complexity of the drive system. The rotor speed is estimated using the EKF. The instant rotor flux is also estimated using the EKF based on the rotor current model of IM, whereas a direct machine model is employed in general to estimate the rotor
Md. Belal Hossen, Md. Habibullah
wiley   +1 more source

Dynamic Parameter Identification of a Hip Exoskeleton Using RLS-GA

Actuators
Lower-limb exoskeletons require accurate dynamic models to achieve stable and compliant human–robot interactions. However, least-squares-based identification often relies on demanding experiments and may yield limited accuracy for exoskeletons with non ...
Wentao Sheng, Yunxia Cao, Farzan Ghalichi, Li Ding, Tianyu Gao   +4 more
doaj   +1 more source

Methods for state of health estimation for lithium-ion batteries: An essential review [PDF]

E3S Web of Conferences
Electric vehicles (EVs) are a practical and suitable choice for reducing the pollution rate caused by combustible engines of conventional cars. The lithium-ion batteries (LIB) serve as a support for energy storage in EVs owing to their benefits and ...
Rhdifa Houda, Ammar Abderazzak, Bouattane Omar   +2 more
doaj   +1 more source

Dynamic Model and Inverse Kinematic Identification of a 3-DOF Manipulator Using RLSPSO

Sensors, 2020
This paper presents the identification of the inverse kinematics of a cylindrical manipulator using identification techniques of Least Squares (LS), Recursive Least Square (RLS), and a dynamic parameter identification algorithm based on Particle Swarm ...
Josias Batista, Darielson Souza, Laurinda dos Reis, Antônio Barbosa, Rui Araújo   +4 more
doaj   +1 more source