It is clear that the learning effectiveness and learning speed of neural networks are in
general far slower than required, which has been a major bottleneck for many applications. …

A smooth time-varying controller is proposed to simultaneously address the stabilization and
tracking problems of nonholonomic mobile robots for most admissible reference trajectories …

Background The coronavirus disease 2019 (COVID-19) outbreak originating in Wuhan,
Hubei province, China, coincided with chunyun, the period of mass migration for the annual …

Many vision-related processing tasks, such as edge detection, image segmentation and stereo
matching, can be performed more easily when all objects in the scene are in good focus. …

Image fusion attempts to combine complementary information from multiple images of the
same scene, so that the resultant image is more suitable for human visual perception and …

Optical lenses, particularly those with long focal lengths, suffer from the problem of limited
depth of field. Consequently, it is often difficult to obtain good focus for all objects in the picture. …

This paper proposes an efficient and robust control scheme for the position-sensorless electric
vehicle (EV) with a brushless dc motor. The back electromotive force detection method is …

The underlying control in the hybrid energy source system (HESS) of an electric vehicle (EV)
plays a pivotal role. Uncertainty is unavoidable in system modeling owing to variations in …

In this paper, we propose a pixel level image fusion algorithm for merging Landsat thematic
mapper (TM) images and SPOT panchromatic images. The two source images are first …

This paper develops a new distributed secondary cooperative control scheme to coordinate
distributed generators (DGs) in islanded microgrids (MGs). A finite time frequency regulation …