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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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Finite-time average consensus of directed second-order multi-agent systems with Markovian switching topology and impulsive disturbance
This paper investigates finite-time mean square average consensus of second-order multi-agent systems, where connected typologies are directed and...
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Distributed convex optimization for nonlinear multi-agent systems disturbed by a second-order stationary process over a digraph
In this paper, we investigate the distributed convex optimization problem for a class of nonlinear multi-agent systems disturbed by random noise over...
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Finite-Time Group Consensus for Second-Order Multi-agent Systems with Input Saturation
Finite-time group consensus problem with input saturation constraint is considered for a fleet of second-order multi-agent systems. The group...
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Sampled data based containment control of second-order multi-agent systems under intermittent communications
This paper studies the sampled data based containment control problem of second-order multi-agent systems with intermittent communications, where...
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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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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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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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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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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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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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Distributed Fixed-Time Consensus and Optimization for Second-Order Multi-Agent Systems
This article mainly studies the distributed fixed-time (FT) consensus and optimization of second-order multi-agent systems (SOMASs). Firstly, a...
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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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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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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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Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies
AbstractIn this paper, a group formation tracking controller for nonlinear multi-agent systems under switching topologies is proposed in which the...
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Embedded decision support platform based on multi-agent systems
There has been an outstanding use of memory storage of processors as current applications: Artificial Intelligence-based applications,...
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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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Genetic algorithm-based secure cooperative control for high-order nonlinear multi-agent systems with unknown dynamics
Research has recently grown on multi-agent systems (MAS) and their coordination and secure cooperative control, for example in the field of...
