The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

The grid is in crisis, facing coinciding pressures including electrification, decarbonization, enormous demand from data centers, and grid technology updates like digitalization and artificial ...

Abstract: This article investigates the design of an adaptive fuzzy output-feedback decentralized controller for a class of nonlinear multiagent systems (MASs). The considered systems are subject to ...

Abstract: This article presents an adaptive fuzzy control strategy that utilizes a monocular camera to address the visual servo control problem in autonomous underwater vehicles (AUVs) while taking ...

Palo Alto-based Rhoda AI, a developer of foundational artificial intelligence robotics models, said today it raid $450 million in Series A funding to train intelligent robots using publicly available ...

Autonomous cars need to see the world around them, kind of like we do, but with a lot more gadgets. They use a bunch of ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

Intelligent controllers are moving security and access decision-making from centralized servers to the edge of the network, right to the door.

A nuclear power plant (NPP) contains thousands of components and equipment, such as motors, pumps or valves that have to be operated in a well-coordinated way. This coordination is performed by ...