Distributed containment control for nonlinear multiagent systems in pure-feedback form

Guozeng Cui, Shengyuan Xu, Xinkai Chen, Frank L. Lewis, Baoyong Zhang

研究成果: Article

3 引用 (Scopus)

抜粋

In this paper, the problem of distributed containment control for pure-feedback nonlinear multiagent systems under a directed graph topology is investigated. The dynamics of each agent are molded by high-order nonaffine pure-feedback form. Neural networks are employed to identify unknown nonlinear functions, and dynamic surface control technique is used to avoid the problem of explosion of complexity inherent in backstepping design procedure. The Frobenius norm of the ideal neural network weighting matrices is estimated, which is helpful to reduce the number of the adaptive tuning law and alleviate the networked communication burden. The proposed distributed containment controllers guarantee that all signals in the closed-loop systems are cooperatively semiglobally uniformly ultimately bounded, and the outputs of followers are driven into a convex hull spanned by the multiple dynamic leaders. Finally, the effectiveness of the developed method is demonstrated by simulation examples.

元の言語English
ページ(範囲)2742-2758
ページ数17
ジャーナルInternational Journal of Robust and Nonlinear Control
28
発行部数7
DOI
出版物ステータスPublished - 2018 5 10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Chemical Engineering(all)
  • Biomedical Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

フィンガープリント Distributed containment control for nonlinear multiagent systems in pure-feedback form' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用