IEEE

Joint Inversion of Gravity and Magnetotelluric Data for the Depth-to-Basement Estimation

Abstract: It is well known that both gravity and magnetolluric (MT) methods can be used for the depth-to-basement estimation due to the density and conductivity contrast between the sedimentary basin ...
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

Energy Aware Impedance Control of a Flying End-Effector in the Port-Hamiltonian Framework

Abstract: This work addresses the interaction control problem of a fully actuated aerial vehicle considered as a flying end-effector. We tackle the problem using geometrically consistent ...
IEEE

A Full-Stack View of Probabilistic Computing With p-Bits: Devices, Architectures, and Algorithms

Abstract: The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor defined by Moore’s law continues, albeit at a slower pace. Meanwhile, computing demands and ...
IEEE

Hyperspectral Pansharpening: A Review

Abstract: Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter ...
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

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

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

Robot Learning System Based on Adaptive Neural Control and Dynamic Movement Primitives

Abstract: This paper proposes an enhanced robot skill learning system considering both motion generation and trajectory tracking. During robot learning demonstrations, dynamic movement primitives ...
IEEE

Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview

Abstract: Autonomous marine vehicles (AMVs), including autonomous surface and underwater vehicles, are versatile means to explore, exploit, monitor, and protect marine resources and environments.
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

Backstepping Nonsingular Terminal Sliding Mode Control for PMSM With Finite-Time Disturbance Observer

Abstract: Aiming at the speed regulation problem of permanent magnet synchronous motor (PMSM) drives, a novel backstepping nonsingular terminal sliding mode control (BNTSMC) method with finite-time ...