Energy networks around the world have experienced a significant increase in the amount of
distributed generation. This decentralization of energy markets has led to a surge of interest …

Traditionally, offline optimization of power systems is acceptable due to the largely
predictable loads and reliable generation. The increasing penetration of fluctuating …

In the era of an energy revolution, grid decentralization has emerged as a viable solution to
meet the increasing global energy demand by incorporating renewables at the distributed …

Autonomous systems possess the features of inferring their own state, understanding their
surroundings, and performing autonomous navigation. With the applications of learning …

In Home Energy Management System (HEMS), the scheduling of energy storage equipment
and shiftable loads has been widely studied to reduce home energy costs. However …

As mankind expands quickly, there is a shortage of energy worldwide. Instead of focusing on
the production, transmission, and provision of a particular power source, China has …

Live traffic video is vitally important for vehicles in future intelligent transport systems (ITSs).
Due to the limitation of onboard sensors, vehicles may not be able to obtain a full view of the …

In this survey, we review the recent advances in control design methods for robotic multi-
agent systems (MAS), focusing on learning-based methods with safety considerations. We …

This paper is concerned with distributed Nash equilibrium seeking strategies under
quantized communication. In the proposed seeking strategy, a projection operator is …

As a representative emerging machine learning technique, federated learning (FL) has
gained considerable popularity for its special feature of “making data available but not …