IEEE

A Wideband Frequency Tunable Optoelectronic Oscillator Incorporating a Tunable Microwave Photonic Filter Based on Phase-Modulation to Intensity-Modulation Conversion Using a ...

Abstract: An optically tunable optoelectronic oscillator (OEO) with a wide frequency tunable range incorporating a tunable microwave photonic filter implemented based on phase-modulation to ...
IEEE

IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review

Abstract: With urbanization, rising income and consumption, the production of waste increases. One of the most important directions in the field of sustainable development is the design and ...
IEEE

Investigation and Diagnosis of Current Sensor Fault in Permanent Magnet Machine Drives

Abstract: Dc offset and gain errors are common failures in current sensor which may be caused by drift in the temperature and supply voltage. The wrong feedback deteriorates the current tracking ...
IEEE

Optimization-Based Flocking Control and MPC-Based Gait Synchronization Control for Multiple Quadruped Robots

Abstract: In this letter, we focus on the flocking control and gait synchronization control of multiple quadruped robots to achieve the movement during patrol tasks. To achieve these goals, we propose ...
IEEE

A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range

Abstract: Permanent magnet synchronous motor (PMSM) drive has emerged as one of the most preferred motor drives for industrial applications owing to its distinguished advantages, such as high torque ...
IEEE

Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks

Abstract: Due to the curse of dimensionality of search space, it is extremely difficult for evolutionary algorithms to approximate the optimal solutions of large-scale multiobjective optimization ...
IEEE

Low-Earth Orbital Lifetime Prediction Based on Parameter Sensitivity Analysis and Deep Learning

Abstract: This article proposes an intelligent prediction method for the orbital lifetime of resident space objects (RSOs) in low-Earth orbit. This method is intended to satisfy the computational ...
IEEE

Battery Energy Storage State-of-Charge Forecasting: Models, Optimization, and Accuracy

Abstract: Battery energy storage systems (BESS) are a critical technology for integrating high penetration renewable power on an intelligent electrical grid. As limited energy restricts the ...
IEEE

Graph Convolutional Network-Based Method for Fault Diagnosis Using a Hybrid of Measurement and Prior Knowledge

Abstract: Deep-neural network-based fault diagnosis methods have been widely used according to the state of the art. However, a few of them consider the prior knowledge of the system of interest, ...
IEEE

Design and Analysis of Multiscroll Memristive Hopfield Neural Network With Adjustable Memductance and Application to Image Encryption

Abstract: Memristor is an ideal electronic device used as an artificial nerve synapse due to its unique memory function. This article presents a design of a new Hopfield neural network (HNN) that can ...
IEEE

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis

Abstract: Recently, deep-learning-based fault diagnosis methods have been widely studied for rolling bearings. However, these neural networks are lack of interpretability for fault diagnosis tasks.
IEEE

MPPI-IPDDP: A Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots

Abstract: This article presents a hybrid trajectory optimization method designed to generate collision-free, smooth trajectories for autonomous mobile robots. By combining sampling-based model ...