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NTIS 바로가기정보와 통신 : 한국통신학회지 = Information & communications magazine, v.31 no.1, 2013년, pp.71 - 81
핵심어 | 질문 | 논문에서 추출한 답변 |
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자연계의 다양한 동조 현상은 많은 관심을 받으며 이론적인 연구와 함께 여러 공학 분야로 적용된 예로 어떤 것들이 있는가? | 지금까지 자연계의 다양한 동조 현상은 많은 관심을 받으며 이론적인 연구와 함께 여러 공학 분야로 적용되어왔다[4][5][6]. 대규모 분산 네트워크에서의 시간 동기화 및 스케줄링, 센서 네트워크에서의 분산 퓨전(fusion), 다양한 네트워크 토폴로지를 고려한 신속한 컨센서스(consensus)의 도출, 멀티 비히클(multi-vehicle)의 분산 대형(formation) 제어, 비선형 최적화 문제의 풀이 등이 그 예이다. 최근 수년간의 통신 기술의 발달로 인해 네트워킹이 가능한 노드 수가 급격히 증가함에 따라 노드간 협력을 통해 공동의 목적을 달성하고자 하는 응용이 늘어나고 있다. | |
컨센서스 알고리즘이란 무엇인가? | 컨센서스는 각 에이전트의 상태에 의존하는 어떠한 값이 서로 일치함을 의미한다. 컨센서스 알고리즘은 컨센서스를 위해 각 에이전트가 행동하는 규칙을 일컫는데, 일반화된 컨센서스 알고리즘은 선형 시스템의 형태로 연속시간과 이산시간에 따라 다음과 같이 표현된다. | |
Kuramoto는 반딧불이의 동조 현상을 모델링은 어떤 가정을 바탕으로 하였는가? | Kuramoto는 동일한 진동자들이 서로 약하게 연결되어 있으며 진동자들의 상호작용이 위상 차이의 사인함수에 의존한다고 가정하여 반딧불이의 동조 현상을 다음과 같이 모델링 하였다 [11][12][13]. |
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