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
ジャーナルIET Control Theory and Applications
DOI
出版ステータスAccepted/In press - 2021

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

フィンガープリント 「Exponential sampled-data fuzzy stabilization of nonlinear systems and its application to basic buck converters」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル