IEEE

Predefined-Time Backstepping Stabilization of Autonomous Nonlinear Systems

Abstract: Dear Editor, In this letter, the backstepping technique is applied to solve the predefined-time stabilization problem for autonomous nonlinear systems, where nonlinear terms are unknown but ...
IEEE

Energy Management and Control System for Laboratory Scale Microgrid Based Wind-PV-Battery

Abstract: This paper proposes an energy management and control system for laboratory scale microgrid based on hybrid energy resources such as wind, solar, and battery. Power converters and control ...
IEEE

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

Abstract: In this issue, “Best of the Web” presents the modified National Institute of Standards and Technology (MNIST) resources, consisting of a collection of handwritten digit images used ...
IEEE

Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults

Abstract: Backstepping control for fractional-order nonlinear systems (FONSs) requires the analytic calculation of fractional derivatives of certain complicated stabilizing functions, which becomes ...
IEEE

Adaptive Prescribed Performance Control of A Flexible-Joint Robotic Manipulator With Dynamic Uncertainties

Abstract: An adaptive fuzzy control strategy is proposed for a single-link flexible-joint robotic manipulator (SFRM) with prescribed performance, in which the unknown nonlinearity is identified by ...
IEEE

Bi-Directional Adaptive A* Algorithm Toward Optimal Path Planning for Large-Scale UAV Under Multi-Constraints

Abstract: For large-scale Unmanned Aerial Vehicle (UAV), it is a challenging problem to automatically generate an optimal path considering the multi-constraints. In order to improve the efficiency and ...
IEEE

An Efficient and Accurate A-Star Algorithm for Autonomous Vehicle Path Planning

Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for unmanned vehicle ...
IEEE

EM-based optimization of microwave circuits using artificial neural networks: the state-of-the-art

Abstract: This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and optimization of microwave circuits using artificial neural networks (ANNs). Measurement-based design ...
IEEE

Gate Leakage Mechanisms in AlInN/GaN and AlGaN/GaN MIS-HEMTs and Its Modeling

Abstract: Gate leakage mechanisms in AlInN/GaN and AlGaN/GaN metal insulator semiconductor high-electron-mobility transistors (MIS-HEMTs) with SiN x as gate dielectric have been investigated. It is ...
IEEE

25% - Efficiency flexible perovskite solar cells via controllable growth of SnO

Abstract: High power conversion efficiency (PCE) flexible perovskite solar cells (FPSCs) are highly desired power sources for aerospace crafts and flexible electronics. However, their PCEs still lag ...
IEEE

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I

Abstract: Scalability of optimization algorithms is a major challenge in coping with the ever-growing size of optimization problems in a wide range of application areas from high-dimensional machine ...
IEEE

A Modified VSG Control Scheme With Virtual Resistance to Enhance Both Small-Signal Stability and Transient Synchronization Stability

Abstract: The existing studies show that the virtual resistance scheme has positive effects on synchronous resonance suppression but negative effects on transient synchronization stability of virtual ...