論文

査読有り 招待有り
2020年12月14日

Strong Integral Input-to-State Stability of Nonlinear Networks through Balancing Kinetics

Proceedings of the IEEE Conference on Decision and Control
  • Ito H

2020-December
開始ページ
482
終了ページ
487
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/CDC42340.2020.9304155

This paper proposes a methodology for establishing stability of nonlinear dynamical networks through balancing mechanisms that appear in system models explicitly. In addition to global asymptotic stability of equilibria, the notion of strong integral input-to-state stability (Strong iISS) is employed to address robustness of the networks with respect to disturbances and noises in the presence of saturation nonlinearities forming balancing relations. Conservation is covered as the exact balance. Unlike network small-gain criteria known in the literature of iISS, the developed criteria do not lump the balancing relations. The formulation covers positive networks and networks of iISS systems.

リンク情報
DOI
https://doi.org/10.1109/CDC42340.2020.9304155
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096351819&origin=inward
ID情報
  • DOI : 10.1109/CDC42340.2020.9304155

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