Results 11 to 20 of about 324,331 (336)

Consensus of a multi-agent systems with heterogeneous delays [PDF]

open access: bronzeKybernetika, 2020
Summary: The paper presents an algorithm for the solution of the consensus problem of a linear multi-agent system composed of identical agents. The control of the agents is delayed, however, these delays are, in general, not equal in all agents. The control algorithm design is based on the \(H_\infty\)-control, the results are formulated by means of ...
Branislav Rehák, Volodymyr Lynnyk
openalex   +2 more sources

Modelling heterogeneous outcomes in multi-agent systems [PDF]

open access: greenCoRR, 2020
A broad set of empirical phenomenon in the study of social, economic and machine behaviour can be modelled as complex systems with averaging dynamics. However many of these models naturally result in consensus or consensus-like outcomes. In reality, empirical phenomenon rarely converge to these and instead are characterized by rich, persistent ...
Orowa Sikder
openalex   +3 more sources

A measure of heterogeneity in multi-agent systems [PDF]

open access: yes2014 American Control Conference, 2014
Heterogeneous multi-agent systems have previously been studied and deployed to solve a number of different tasks. Despite this, we still lack a basic understanding of just what “heterogeneity” really is. For example, what makes one team of agents more heterogeneous than another?
Philip Twu   +2 more
openaire   +1 more source

Synchronization of multi-agent systems with heterogeneous controllers [PDF]

open access: yesNonlinear Dynamics, 2017
This paper studies the synchronization of a multi-agent system where the agents are coupled through heterogeneous controller gains. Synchronization refers to the situation where all the agents in a group have a common velocity direction. We generalize existing results and show that by using heterogeneous controller gains, the final velocity direction ...
Anoop Jain, Debasish Ghose
openaire   +2 more sources

Design of Heterogeneous Multi-agent System for Distributed Computation [PDF]

open access: yes, 2021
A group behavior of a heterogeneous multi-agent system is studied which obeys an "average of individual vector fields" under strong couplings among the agents. Under stability of the averaged dynamics (not asking stability of individual agents), the behavior of heterogeneous multi-agent system can be estimated by the solution to the averaged dynamics ...
Jin Gyu Lee, Hyungbo Shim
openaire   +2 more sources

Cluster partitioning of heterogeneous multi-agent systems

open access: yesAutomatica, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mattioni M., Monaco S.
openaire   +2 more sources

mPower: A component-based development framework for multi-agent systems to support business processes [PDF]

open access: yes, 2003
One of the obstacles preventing the widespread adoption of multi-agent systems in industry is the difficulty of implementing heterogeneous interactions among participating agents via asynchronous messages.
Lee, H, Mihailescu, P, Shepherdson, J
core   +1 more source

Hybrid autonomous control for heterogeneous multi-agent system [PDF]

open access: yes, 2003
Reinforcement learning is an adaptive and flexible control method for autonomous system. In our previous works, we had proposed a reinforcement learning algorithm for redundant systems: "Q-learning with dynamic structuring of exploration space based
Gofuku, Akio, Ito, Kazuyuki
core   +1 more source

Consensus of Heterogeneous Multi-Agent Systems Under Directed Topology

open access: yesIEEE Access, 2022
In this paper, the consensus problem of heterogeneous multi-agent systems under directed topology is investigated. Specifically, this system is composed of three classes of agents respectively described by first-order, second-order and third-order ...
Hua Geng   +4 more
doaj   +1 more source

Multi-Agent Contextual Bandits for Multi-Objective Recommendation Systems [PDF]

open access: yesITM Web of Conferences
In this work, the use of multi-agent contextual bandits to optimize multi-objective recommendation systems in resource-constrained settings is examined.
Zhu Ziwen
doaj   +1 more source

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