カテゴリ: 論文誌(論文単位)グループ名: 【C】電子・情報・システム部門発行日: 2013/06/01タイトル(英語): Extended Flocking Algorithm for Self-parameter Tuning著者名: 山内 翔（北海道大学大学院情報科学研究科），川村 秀憲（北海道大学大学院情報科学研究科），鈴木 恵二（北海道大学大学院情報科学研究科）著者名(英語): Sho Yamauchi (Graduate School of Information Science and Technology, Hokkaido University), Hidenori Kawamura (Graduate School of Information Science and Technology, Hokkaido University), Keiji Suzuki (Graduate School of Information Science and Technology, Hokkaido University)キーワード: 自律システム，パラメータ調整，Flockingアルゴリズム autonomous system，self-parameter tuning，flocking algorithm要約(英語): Flocking algorithms for a multi-agent system are distributed algorithms that only have simple rules for each agent but generate complex formational movement. These algorithms are known as swarm intelligence and are robust and disaster tolerant for most cases. We consider that flocking algorithms that have these characteristics are the way to generate homeostasis in a system. We expect that by making use of this algorithm the system can tune its self parameters and thus maintain a high performance. First, to apply a flocking algorithm to a system, we extended the flocking algorithm to form an arbitrary lattice for further flexibility. We then applied extended flocking algorithm to position tracking camera system as an example.本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.6 （2013） 特集：非線形システムのモデル化・制御理論・応用の最前線本誌掲載ページ: 1195-1201 p原稿種別: 論文／日本語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/6/133_1195/_article/-char/ja/
