Performance Consensus Problem of Multi-Agent Systems with Multiple State Variables
Summary :
A consensus problem has been studied in many fundamental and application fields to analyze coordinated behavior in multi-agent systems. In a consensus problem, it is usually assumed that a state of each agent is scalar and all agents have an identical linear consensus protocol. We present a consensus problem of multi-agent systems where each agent has multiple state variables and a performance value evaluated by a nonlinear performance function according to its current state. We derive sufficient conditions for agents to achieve consensus on the performance value using an algebraic graph theory and the mean value theorem. We also consider an application of a performance consensus problem to resource allocation in soft real-time systems so as to achieve a fair QoS (Quality of Service) level.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.9 pp.2403-2410
- Publication Date
- 2008/09/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.9.2403
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
- Category
- Nonlinear System Theory
Authors
Keyword
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Naoki HAYASHI, Toshimitsu USHIO, "Performance Consensus Problem of Multi-Agent Systems with Multiple State Variables" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2403-2410, September 2008, doi: 10.1093/ietfec/e91-a.9.2403.
Abstract: A consensus problem has been studied in many fundamental and application fields to analyze coordinated behavior in multi-agent systems. In a consensus problem, it is usually assumed that a state of each agent is scalar and all agents have an identical linear consensus protocol. We present a consensus problem of multi-agent systems where each agent has multiple state variables and a performance value evaluated by a nonlinear performance function according to its current state. We derive sufficient conditions for agents to achieve consensus on the performance value using an algebraic graph theory and the mean value theorem. We also consider an application of a performance consensus problem to resource allocation in soft real-time systems so as to achieve a fair QoS (Quality of Service) level.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2403/_p
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@ARTICLE{e91-a_9_2403,
author={Naoki HAYASHI, Toshimitsu USHIO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Performance Consensus Problem of Multi-Agent Systems with Multiple State Variables},
year={2008},
volume={E91-A},
number={9},
pages={2403-2410},
abstract={A consensus problem has been studied in many fundamental and application fields to analyze coordinated behavior in multi-agent systems. In a consensus problem, it is usually assumed that a state of each agent is scalar and all agents have an identical linear consensus protocol. We present a consensus problem of multi-agent systems where each agent has multiple state variables and a performance value evaluated by a nonlinear performance function according to its current state. We derive sufficient conditions for agents to achieve consensus on the performance value using an algebraic graph theory and the mean value theorem. We also consider an application of a performance consensus problem to resource allocation in soft real-time systems so as to achieve a fair QoS (Quality of Service) level.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2403},
ISSN={1745-1337},
month={September},}
Copy
TY - JOUR
TI - Performance Consensus Problem of Multi-Agent Systems with Multiple State Variables
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2403
EP - 2410
AU - Naoki HAYASHI
AU - Toshimitsu USHIO
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2403
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - A consensus problem has been studied in many fundamental and application fields to analyze coordinated behavior in multi-agent systems. In a consensus problem, it is usually assumed that a state of each agent is scalar and all agents have an identical linear consensus protocol. We present a consensus problem of multi-agent systems where each agent has multiple state variables and a performance value evaluated by a nonlinear performance function according to its current state. We derive sufficient conditions for agents to achieve consensus on the performance value using an algebraic graph theory and the mean value theorem. We also consider an application of a performance consensus problem to resource allocation in soft real-time systems so as to achieve a fair QoS (Quality of Service) level.
ER -
English
