Exponential sampled-data fuzzy stabilization of nonlinear systems and its application to basic buck converters

Nallappan Gunasekaran, Guisheng Zhai, Qiang Yu

研究成果: Article査読

抄録

This study focuses on the exponential stability and stabilization of nonlinear systems via fuzzy sampled-data control technique. The stability and stabilization conditions are obtained through constructing suitable Lyapunov functional which contains the sampling information and the solvable linear matrix inequalities. Then, the dynamics of the nonlinear buck converter system and Lorenz system with the sampled-data controller is analyzed and designed. Finally, the proposed method is validated with a basic buck converter system model designed to reflect the characteristics of the power metal-oxide-semiconductor field-effect transistors in the numerical section. In addition, the superiority of the sufficient conditions obtained is shown by comparing with the existing methods of the Lorentz system.

本文言語English
ページ(範囲)1157-1168
ページ数12
ジャーナルIET Control Theory and Applications
15
9
DOI
出版ステータスPublished - 2021 6

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 人間とコンピュータの相互作用
  • コンピュータ サイエンスの応用
  • 制御と最適化
  • 電子工学および電気工学

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