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A security framework for mobile agent systems
Security is a very important challenge in mobile agent systems due to the strong dependence of agents on the platform and vice versa. According to...
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A kinetic approach to investigate the collective dynamics of multi-agent systems
When the number of interacting agents in a multi-agent system is large, the detailed study of the dynamics of each agent tends to obfuscate the...
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Multi-agent reinforcement learning behavioral control for nonlinear second-order systems
Reinforcement learning behavioral control (RLBC) is limited to an individual agent without any swarm mission, because it models the behavior priority...
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Event-triggered distributed optimization for model-free multi-agent systems
In this paper, the distributed optimization problem is investigated for a class of general nonlinear model-free multi-agent systems. The dynamical...
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Learning a data-efficient model for a single agent in homogeneous multi-agent systems
Training Reinforcement Learning (RL) policies for a robot requires an extensive amount of data recorded while interacting with the environment....
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Event-triggered cooperative robust formation control of multi-agent systems via reinforcement learning
This article develops an event-triggered cooperative robust formation control scheme for nonlinear multi-agent systems with dynamic uncertainties via...
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Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems
Standard techniques for model checking stochastic multi-agent systems usually assume the transition probabilities describing the system dynamics to...
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Consensus of hybrid linear multi-agent systems with periodic jumps
The consensus problem for a class of hybrid linear multi-agent systems has been studied. By utilizing the modified H ∞ type Riccati inequalities, both...
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Quantized Iterative Learning Bipartite Containment Tracking Control for Unknown Nonlinear Multi-agent Systems
This paper proposes a quantized model-free adaptive iterative learning control (MFAILC) algorithm to solve the bipartite containment tracking problem...
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Modeling and reinforcement learning in partially observable many-agent systems
There is a prevalence of multiagent reinforcement learning (MARL) methods that engage in centralized training. These methods rely on all the agents...
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Pinning Group Consensus of Multi-agent Systems Under DoS Attacks
In this paper, group consensus is investigated for a class of nonlinear multi-agent systems suffered from the DoS attacks. Firstly, a first-order...
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Towards resilient average consensus in multi-agent systems: a detection and compensation approach
Consensus is one of the fundamental distributed control technologies for collaboration in multi-agent systems such as collaborative handling in...
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A comprehensive analysis of agent factorization and learning algorithms in multiagent systems
In multiagent systems, agent factorization denotes the process of segmenting the state-action space of the environment into distinct components, each...
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Commitment-based negotiation semantics for accountability in multi-agent systems
Negotiation is a key form of interaction in multi-agent systems. Negotiation enables agents to come to a mutual agreement about a goal or plan of...
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Prescribed-Time Sampled-Data Control for the Bipartite Consensus of Linear Multi-Agent Systems in Singed Networks
This article examines the prescribed-time sampled-data control problem for multi-agent systems in signed networks. A time-varying high gain-based...
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Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems
The main aim of this work is to design a non-fragile sampled data control (NFSDC) scheme for the asymptotic synchronization criteria for...
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Data-driven cooperative output regulation of multi-agent systems under distributed denial of service attacks
This paper addresses an optimal, cooperative output regulation problem for multi-agent systems with distributed denial of service attacks and unknown...
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Multi-Agent Systems 20th European Conference, EUMAS 2023, Naples, Italy, September 14–15, 2023, Proceedings
This volume LNCS 14282 constitutes the refereed proceedings of the 20th European Conference EUMAS 2023, held in Naples, Italy, during September 2023.T...
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Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network
This study tackles the problem of increasing efficiency and scalability in deep neural network (DNN) systems by employing collaborative inference, an...
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Engineering Multi-Agent Systems 11th International Workshop, EMAS 2023, London, UK, May 29–30, 2023, Revised Selected Papers
This book constitutes revised selected papers from the 11th International Workshop on Engineering Multi-Agent Systems, EMAS 2023, which was held in...
