Results 31 to 40 of about 768 (156)
Low-Complexity Self-Interference Cancellation for Multiple Access Full Duplex Systems
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 +2 more
doaj +1 more source
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 +5 more
wiley +1 more source
New Insights into the RLS Algorithm
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
Shaping energy cost management in process industries through clustering and soft sensors
With the ever-increasing growth of energy demand and costs, process monitoring of operational costs is of great importance for process industries.
Yu Lu +8 more
doaj +1 more source
Speed‐Sensorless Model‐Free Predictive Torque Control for Induction Motor Drive
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
Parameter Estimation of PMSM Based on Improved Secretary Bird Optimization Algorithm
Figure 5 illustrates the vector control system. The ISBOA takes the motor signals id,iq,ud,uq,andωr${i_d},{i_q},{u_d},{u_q}, \text{ and }{\omega _r}$ as inputs, and estimates the key parameters: stator inductance Ls,${L_s}, $ stator resistance Rs,${R_s}, $ and permanent magnet flux linkage ψf$\psi_f$.
Xiaoliang Yang +5 more
wiley +1 more source
While deep learning‐based approaches for state of health (SOH) estimation in lithium‐ion batteries have been actively studied, most models face deployment constraints in on‐device applications due to their high complexity and large number of parameters.
Yeonho Choi +3 more
wiley +1 more source
Dynamic Parameter Identification of a Hip Exoskeleton Using RLS-GA
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 +4 more
doaj +1 more source
Methods for state of health estimation for lithium-ion batteries: An essential review [PDF]
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 +2 more
doaj +1 more source
Dynamic Model and Inverse Kinematic Identification of a 3-DOF Manipulator Using RLSPSO
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 +4 more
doaj +1 more source

