The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
다중 에이전트 시스템에서 조정된 행동을 분석하기 위해 합의 문제는 많은 기본 및 응용 분야에서 연구되었습니다. 합의 문제에서는 일반적으로 각 에이전트의 상태가 스칼라이고 모든 에이전트가 동일한 선형 합의 프로토콜을 가지고 있다고 가정합니다. 우리는 각 에이전트가 여러 상태 변수를 가지며 현재 상태에 따라 비선형 성능 함수로 평가되는 성능 값을 갖는 다중 에이전트 시스템의 합의 문제를 제시합니다. 대수 그래프 이론과 평균값 정리를 사용하여 에이전트가 성능 값에 대한 합의를 달성할 수 있는 충분한 조건을 도출합니다. 또한 공정한 QoS(Quality of Service) 수준을 달성하기 위해 소프트 실시간 시스템의 자원 할당에 성능 합의 문제를 적용하는 것을 고려합니다.
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부
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
부
@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},}
부
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 -