Results 51 to 60 of about 794 (150)
This study proposes a parallel observation deviation‐coupled linear active disturbance rejection control (PODC‐LADRC) strategy optimized by a pigeon‐inspired algorithm to mitigate asymmetric aerodynamic loads in large‐scale wind turbines. By utilizing a decoupled observation architecture, the proposed method reconstructs total disturbances with near ...
Md. Belal Hossen, Md. Habibullah
wiley +1 more source
Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm
The maximum complex correntropy criterion (MCCC) has been extended to complex domain for dealing with complex-valued data in the presence of impulsive noise.
Guobing Qian, Dan Luo, Shiyuan Wang
doaj +1 more source
Model Predictive Direct Speed Control (MPDSC), which directly optimizes the rotor speed based on a predictive model, exhibits significantly superior overall performance compared with traditional cascaded controller. This paper presents the first systematic review of MPDSC methods for PMSMs.
Hao Fan +4 more
wiley +1 more source
Range‐Free Localisation for Monostatic Passive Radar Employing Multi‐Narrowband Illuminators
Range‐free localisation is considered for monostatic passive radar with multiple narrowband illuminators under unreliable time‐delay (range) measurements. Doppler/DOA (and optional Doppler‐rate) are fused in an ML framework, where velocity is iteratively updated to reduce the original 6‐D optimisation to a 3‐D position search.
Chenggeng Zhao +4 more
wiley +1 more source
Self-Tuning Control Scheme Based on the Robustness σ-Modification Approach
This paper deals with the self-tuning control problem of linear systems described by autoregressive exogenous (ARX) mathematical models in the presence of unmodelled dynamics. An explicit scheme of control is described, which we use a recursive algorithm
Nabiha Touijer +3 more
doaj +1 more source
This paper proposes a robust framework for 2D DoA estimation and tracking in RIS‐assisted vehicular sensing under sparse observations. A low‐rank regularisation stage stabilises covariance estimation, followed by beamspace‐based DoA extraction and an adaptive VFN‐RLS tracker for dynamic vehicle tracking.
Farheen Naaz, Sung Won Kim
wiley +1 more source
Decision-Directed Recursive Least Squares MIMO Channels Tracking
A new approach for joint data estimation and channel tracking for multiple-input multiple-output (MIMO) channels is proposed based on the decision-directed recursive least squares (DD-RLS) algorithm.
Karami Ebrahim, Shiva Mohsen
doaj +2 more sources
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
A state of charge (SOC) estimation method based on recursive ridge leverage score‐Nystrom‐support vector machine (RRLS‐NY‐SVM) is proposed to improve computational efficiency and robustness while maintaining high estimation accuracy. The NY approximation algorithm is adopted to directly solve the nonlinear mapping function in the original space ...
Shu Liu +3 more
wiley +1 more source
In this paper, a model predictive torque control (MPTC) method based on dynamic forgetting factor (DFF) parameter recognition (DFF‐MPTC) is proposed to reduce the impact of time delay, nonlinearity and parameter mismatch on the performance of permanent magnet synchronous motor (PMSM) control system.
Jiajun Ruan +3 more
wiley +1 more source

