Multi-agent system ≈ Multi-agent system
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An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems Open
Event-triggered consensus of multiagent systems (MASs) has attracted tremendous attention from both theoretical and practical perspectives due to the fact that it enables all agents eventually to reach an agreement upon a common quantity o…
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Multi-Agent Systems: A Survey Open
Multi-agent systems (MASs) have received tremendous attention from scholars in different disciplines, including computer science and civil engineering, as a means to solve complex problems by subdividing them into smaller tasks. The indivi…
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Fixed-Time Consensus Tracking for Multiagent Systems With High-Order Integrator Dynamics Open
IF=4.27
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Counterfactual Multi-Agent Policy Gradients Open
Cooperative multi-agent systems can be naturally used to model many real world problems, such as network packet routing and the coordination of autonomous vehicles. There is a great need for new reinforcement learning methods that can effi…
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Learning to Communicate with Deep Multi−Agent Reinforcement Learning Open
We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility. In these environments, agents must learn communication protocols in order to share information that is needed t…
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Smart Agents in Industrial Cyber–Physical Systems Open
Future industrial systems can be realized using the cyber-physical systems (CPSs) that advocate the coexistence of cyber and physical counterparts in a network structure to perform the systems functions in a collaborative manner. Multiagen…
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When Internet of Things Meets Blockchain: Challenges in Distributed Consensus Open
Blockchain has been regarded as a promising technology for Internet of Things\n(IoT), since it provides significant solutions for decentralized network which\ncan address trust and security concerns, high maintenance cost problem, etc.\nTh…
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Adaptive Event-Triggered Consensus of Multiagent Systems on Directed Graphs Open
This article systematically studies consensus of linear multiagent systems (MASs) on directed graphs through adaptive event-triggered control. It presents innovative adaptive event-triggered state-feedback protocols with novel composite ev…
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Situation awareness-based agent transparency and human-autonomy teaming effectiveness Open
Effective collaboration between humans and agents depends on humans maintaining an appropriate understanding of and calibrated trust in the judgment of their agent counterparts. The Situation Awareness-based Agent Transparency (SAT) model …
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A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning Open
In this paper, the optimal bipartite consensus control (OBCC) problem is investigated for unknown multi-agent systems (MASs) with coopetition networks. A novel distributed OBCC scheme is proposed based on model-free reinforcement learning …
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Actor-Attention-Critic for Multi-Agent Reinforcement Learning Open
Reinforcement learning in multi-agent scenarios is important for real-world applications but presents challenges beyond those seen in single-agent settings. We present an actor-critic algorithm that trains decentralized policies in multi-a…
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A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems Open
Multiagent Reinforcement Learning (RL) solves complex tasks that require coordination with other agents through autonomous exploration of the environment. However, learning a complex task from scratch is impractical due to the huge sample …
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Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Open
We consider the problem of \emph{fully decentralized} multi-agent reinforcement learning (MARL), where the agents are located at the nodes of a time-varying communication network. Specifically, we assume that the reward functions of the ag…
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Decentralized Consensus for Edge-Centric Internet of Things: A Review, Taxonomy, and Research Issues Open
With the exponential rise in the number of devices, the Internet of Things (IoT) is geared toward edge-centric computing to offer high bandwidth, low latency, and improved connectivity. In contrast, legacy cloud-centric platforms offer det…
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An Improved Predefined-Time Adaptive Neural Control Approach for Nonlinear Multiagent Systems Open
This paper focuses on the predefined-time adaptive neural tracking control problem for nonlinear multiagent systems (MASs). In contrast to the existing results of the predefined-time control methods, this paper introduces a lemma for achie…
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Hybrid Consensus: Efficient Consensus in the Permissionless Model Open
Consensus, or state machine replication is a foundational building block of distributed systems and modern cryptography. Consensus in the classical, "permissioned" setting has been extensively studied in the 30 years of distributed systems…
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Distributed Secure Coordinated Control for Multiagent Systems Under Strategic Attacks Open
This paper studies a distributed secure consensus tracking control problem for multiagent systems subject to strategic cyber attacks modeled by a random Markov process. A hybrid stochastic secure control framework is established for design…
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Event-Triggered Mean-Square Consensus Control for Time-Varying Stochastic Multi-Agent System With Sensor Saturations Open
Royal Society of the U.K.; 10.13039/501100001809-National Natural Science Foundation of China; 10.13039/501100004608-Natural Science Foundation of Jiangsu Province; Postdoctoral Science Foundation of China; International Postdoctoral Excha…
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A Differential Game Approach to Multi-agent Collision Avoidance Open
A multi-agent system consisting of N agents is considered. The problem of steering each agent from its initial position to a desired goal while avoiding collisions with obstacles and other agents is studied. This problem, referred to as th…
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Periodic Event-Triggered Synchronization of Linear Multi-Agent Systems With Communication Delays Open
Multi-agent systems cooperation to achieve global goals is usually limited by sensing, actuation, and communication issues. At the local level, continuous measurement and actuation is only approximated by the use of digital mechanisms that…
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A multi-agent based system with big data processing for enhanced supply chain agility Open
Purpose Decision support systems are becoming an indispensable tool for managing complex supply chains. The purpose of this paper is to develop a multi-agent-based supply chain management system that incorporates big data analytics that ca…
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Optimized Multi-Agent Formation Control Based on an Identifier–Actor–Critic Reinforcement Learning Algorithm Open
The paper proposes an optimized leader-follow er formation control for the multi-agent systems with unknown nonlinear dynamics. Usually, optimal control is designed based on the solution of the Hamilton-Jacobi-Bellman equation, but it is v…
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Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control Open
CCTV-based surveillance using unmanned aerial vehicles (UAVs) is considered a key technology for security in smart city environments. This paper creates a case where the UAVs with CCTV-cameras fly over the city area for flexible and reliab…
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Distributed Adaptive Time-Varying Group Formation Tracking for Multiagent Systems With Multiple Leaders on Directed Graphs Open
This paper proposes a fully-distributed control protocol that achieves time-varying group formation tracking for linear multi-agent systems connected via directed graph. The group formation tracking often leads to sub-formations especially…
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A taxonomy of blockchain consensus protocols: A survey and classification framework Open
Blockchain, the underlying technology of Bitcoin, refers to the public ledger used in a distributed network. Because blockchain does not rely on a central authority, peers have to agree on the state of the ledger among themselves, i.e., th…
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Predictor-Based Extended-State-Observer Design for Consensus of MASs With Delays and Disturbances Open
In this paper, we study output feedback leader-follower consensus problem for multiagent systems subject to external disturbances and time delays in both input and output. First, we consider the linear case and a novel predictor-based exte…
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Multi-Agent Systems Applications in Energy Optimization Problems: A State-of-the-Art Review Open
This article reviews the state-of-the-art developments in Multi-Agent Systems (MASs) and their application to energy optimization problems. This methodology and related tools have contributed to changes in various paradigms used in energy …
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Multiagent System-Based Distributed Coordinated Control for Radial DC Microgrid Considering Transmission Time Delays Open
This paper focuses on a multi-agent based distributed coordinated control for radial DC microgrid considering trans-mission time delays. Firstly, a two-level multi-agent system is constructed, where local control is formulated based on loc…
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Optimal Output Consensus of High-Order Multiagent Systems With Embedded Technique Open
In this paper, we study an optimal output consensus problem for a multiagent network with agents in the form of multi-input multioutput minimum-phase dynamics. Optimal output consensus can be taken as an extended version of the existing ou…
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A Survey of Self-Organization Mechanisms in Multiagent Systems Open
This paper surveys the literature over the last decades in the field of self-organizing multiagent systems. Self-organization has been extensively studied and applied in multiagent systems and other fields, e.g., sensor networks and grid s…