Abstract: This article presents a method for diagnosing and identifying open-phase fault and current sensor fault in dual three-phase permanent synchronous motor (DTP-PMSM) drives. The fault diagnosis ...
Abstract: Spatial–temporal–spectral fusion (STSF) of remote sensing imagery can produce data with the highest spatial and spectral resolution, only as well as fine temporal resolution, by integrating ...
Abstract: Successful new product development advocates for collaboration among different institutions in which technology transfer dispute widely exists. Although several studies have discussed ...
Abstract: In recent years, a step change has been seen in the rate of adoption of Industry 4.0 technologies by manufacturers and industrial organizations alike. This article discusses the current ...
Abstract: In this article, the method of dynamic performance monitoring and adaptive self-tuning of parameters for actual PID control systems of industrial processes in virtual reality scenes is ...
Abstract: This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system. A novel regional multi-agent cooperative reinforcement learning ...
Abstract: Vehicle trajectory prediction is a crucial but intricate problem for lateral driving assistance systems because of driver uncertainty. This article presents a probabilistic ...
Abstract: During the past 20 years, due to the rapid development of China's economy, the amount of coal mining activities has rapidly increased, which has led to a large increase in the number of ...
Abstract: An additional secondary factor (ASF) correction method is proposed to improve the accuracy of Loran-C navigation and positioning based on a combination of backward propagation neural network ...
Abstract: Optimal control approaches, such as model predictive control (MPC) and reinforcement learning (RL), are promising for decentralized grid applications but face challenges related to model ...
Abstract: In this article, a zero-voltage switching (ZVS) series-series compensated wireless power transfer (WPT) converter with phase shift modulation is proposed, which can realize output current ...
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the ...