IEEE

Toward Improved Load Forecasting in Smart Grids: A Robust Deep Ensemble Learning Framework

Abstract: This paper presents an advanced deep ensemble learning framework for short-term load forecasting (STLF). The refined deep ensemble model (DEM), complemented ...
IEEE

A New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application

Abstract: Zeroing neural network (ZNN) can effectively solve the matrix flows inversion problem. Nevertheless, quite a few related research works focus on the improvement of the convergence and ...
IEEE

1800.2-2020 - IEEE Standard for Universal Verification Methodology Language Reference Manual

Abstract: The Universal Verification Methodology (UVM) that can improve interoperability, reduce the cost of using intellectual property (IP) for new projects or electronic design automation (EDA) ...
IEEE

Delay-Dependent Optimal Load Frequency Control for Sampling Systems With Demand Response

Abstract: The continuous-time model is widely used to design load frequency control (LFC) schemes for power systems with delays and demand response (DR). In practice, however, the LFC system works in ...
IEEE

Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems

Abstract: In this paper, observer and command-filter-based adaptive fuzzy output feedback control is proposed for a class of strict-feedback systems with parametric uncertainties and unmeasured states ...
IEEE

Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural Vehicles

Abstract: This letter describes Fields2Cover, a novel open source library for coverage path planning (CPP) for agricultural vehicles. While there are several CPP solutions nowadays, there have been ...
IEEE

A Decade Survey of Content Based Image Retrieval Using Deep Learning

Abstract: The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of the query ...
IEEE

Machine Learning-Based Method for Remaining Range Prediction of Electric Vehicles

Abstract: Limited driving range is one of the major obstacles to the widespread application of electric vehicles (EVs). Accurately predicting the remaining driving range can effectively reduce the ...
IEEE

Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach

Abstract: The trajectory tracking control performance of nonholonomic wheeled mobile robots (NWMRs) is subject to nonholonomic constraints, system uncertainties, and external disturbances. This paper ...
IEEE

Moving Target Tracking by Unmanned Aerial Vehicle: A Survey and Taxonomy

Abstract: Moving target tracking is one of the most active applications in the field of unmanned aerial vehicles (UAVs). Due to their high adaptability, UAVs equipped with multisensor vision tracking ...
IEEE

String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach

Abstract: The design of a cooperative adaptive cruise-control (CACC) system and its practical validation are presented. Focusing on the feasibility of implementation, a decentralized controller design ...
IEEE

Multi-Functional Wideband Metasurface: Perfect Absorber and Linear to Linear and Linear to Circular Polarization Converter

Abstract: In this paper, a switchable multi-functional wideband metasurface device based on vanadium dioxide (VO2) in the terahertz (THz) region is numerically proposed. By controlling the phase of ...