Abstract: A broadband dual-polarized planar antenna is proposed for 2G/3G/LTE base stations. The dual-polarized antenna is composed of two perpendicularly crossed bow-tie dipoles. Each bow-tie dipole ...

Abstract: In this article, an adaptive iterative learning control scheme is presented for a class of nonlinear parametric strict-feedback systems with unknown state delays, aiming to achieve the point ...

Abstract: This article proposes a flux linkage-based sensorless control strategy to enhance the robustness of sensorless control of SRMs in the medium to high-speed range. First, the rotor position is ...

Abstract: This article presents an event-triggered data-driven load frequency control (LFC) method for multiarea interconnected power systems via model-free adaptive control, where the dynamic model ...

Abstract: The motor drive system plays a significant role in the safety of electric vehicles as a bridge for power transmission. Meanwhile, to enhance the efficiency and stability of the drive system, ...

Abstract: Aircraft detection in synthetic aperture radar (SAR) images is still a challenging research task because of the insufficient public data, the difficulty of multiscale target detection, and ...

Abstract: The impact of phase-locked loop (PLL) parameters on the dynamic and steady-state behavior of a voltage-source converter (VSC) in an HVDC transmission system is determined as a function of ...

Abstract: An improved particle swarm optimization (PSO) algorithm based on Gaussian distribution model is proposed to realize the autotuning of weighting factors for the cost function design in the ...

Abstract: Lithium ion batteries should always be prevented from overheating and, hence, thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a ...

Abstract: In this paper, a unified energy management scheme is proposed for renewable grid integrated systems with battery-supercapacitor hybrid storage. The intermittent nature of renewable-energy ...

Abstract: Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received long-standing attention. In recent years, deep learning ...

Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...