In order to optimize the speed-control performance of the permanent-magnet synchronous
motor (PMSM) system with different disturbances and uncertainties, a nonlinear speed-control …

This paper proposes a method which combines Sobel edge detection operator and soft-threshold
wavelet de-noising to do edge detection on images which include White Gaussian …

In order to solve the parameter dependence problem in model predictive control, an improved
model predictive current control (MPCC) method based on the incremental model for …

Supervised learning algorithms have shown limited use in the field of anomaly detection
due to the unpredictability and difficulty in acquiring abnormal samples. In recent years, …

In order to optimize the current-control performance of the permanent-magnet synchronous
motor (PMSM) system with model parameter mismatch and one-step control delay, an …

A liquid being ejected from a nozzle emanates from it as discrete, uniformly sized drops
when the flow rate is sufficiently low. In this paper, an experimental study is presented of the …

The development of aqueous Zn metal batteries (AZMBs) is impeded by severe corrosion, H
2 evolution, and dendrite formation issues. In addition, the inability of AZMBs to achieve a …

Generalized linear mixed models (GLMMs) have been widely used in contemporary ecology
studies. However, determination of the relative importance of collinear predictors (ie fixed …

In order to reduce the computation burden and eliminate the weighting factor in conventional
model predictive torque control (MPTC), this paper proposes an improved MPTC algorithm …

In this article, in order to optimize the dynamic performance of the permanent magnet
synchronous motor (PMSM) speed regulation system, a nonlinear speed-control algorithm for the …