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Multi-agent systems and their applications

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TLDR
The number of distributed energy components and devices continues to increase globally and as a result, distributed control schemes are desirable for managing and utilizing these devices, together with their applications.
Abstract
The number of distributed energy components and devices continues to increase globally. As a result, distributed control schemes are desirable for managing and utilizing these devices, together wit...

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Automated guided vehicle systems, state-of-the-art control algorithms and techniques

TL;DR: This paper is meant to provide a good overview of all AGV-related control algorithms and techniques, not only those that were used in the early stages of AGVs, but also the algorithm and techniques used in some of the most recentAGV-systems, as well as the algorithms and Techniques with high potential.
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Review of major approaches to analyze vulnerability in power system

TL;DR: This paper aims to guide the reader toward choosing the most effective method according to the issue investigated, namely the N-k problem, trade-off between robustness and optimality, and emerging drivers in power grids.
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Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

TL;DR: In this paper, the authors investigated the existing challenges with the current level of PV penetration and looked into the challenges with high PV penetration in future scenarios such as smart cities, transactive energy, proliferation of plug-in hybrid electric vehicles (PHEVs), possible eclipse events, big data issues and environmental impacts.
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Residential Demand Response Strategies and Applications in Active Distribution Network Management

TL;DR: The aim of this paper is to review the recent literature and pilot implementations towards residential DR activation and applications at the electricity distribution level and discuss the challenges and future directions of this technology.
Journal ArticleDOI

Hybrid online learning control in networked multiagent systems: A survey

TL;DR: A comprehensive survey of the current state of the art in the area of online learning control in multiagent systems is given, presenting an overview of the different types of problems that can be addressed, as well as the most representative control architectures found in the literature.
References
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Journal ArticleDOI

Consensus problems in networks of agents with switching topology and time-delays

TL;DR: A distinctive feature of this work is to address consensus problems for networks with directed information flow by establishing a direct connection between the algebraic connectivity of the network and the performance of a linear consensus protocol.
Book

An Introduction to MultiAgent Systems

TL;DR: A multi-agent system is a distributed computing system with autonomous interacting intelligent agents that coordinate their actions so as to achieve its goal(s) jointly or competitively.
Book

Multiagent Systems : A Modern Approach to Distributed Artificial Intelligence

TL;DR: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence and will be a useful reference not only for computer scientists and engineers, but for social scientists and management and organization scientists as well.
Book

Introduction to Multiagent Systems

TL;DR: A multi-agent system (MAS) as discussed by the authors is a distributed computing system with autonomous interacting intelligent agents that coordinate their actions so as to achieve its goal(s) jointly or competitively.
Journal ArticleDOI

The part-time parliament

TL;DR: The Paxon parliament's protocol provides a new way of implementing the state machine approach to the design of distributed systems.
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