Skip to main navigation Skip to search Skip to main content

Quadratic stable controller design of discrete fuzzy systems

  • Song Tao Zhang*
  • , Shu Juan Wang
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • Harbin University of Commerce

Research output: Contribution to journalArticlepeer-review

Abstract

For the quadratic stable problem of discrete T-S fuzzy systems, a discrete piecewise Lyapunov function was constructed in maximal overlapped-rule groups based on the properties of fuzzy systems with two-overlapped fuzzy partition inputs. And then a new sufficient condition to check the stability of discrete closed-loop T-S fuzzy systems was proposed and proved. This condition only requires finding a common positive definite matrix in each maximal overlapped-rule group. Compared with former stability analysis approaches, this approach can not only overcome the defect of finding a common positive definite matrix but also reduce the number of solving Lyapunov inequalities. In addition, a fuzzy controller was designed to acquire global asymptotically stable fuzzy system models by means of the parallel distributed compensation approach. Finally, for a ship motion system, simulation results demonstrate that the proposed quadratic stable controller is effective.

Original languageEnglish
Pages (from-to)593-597
Number of pages5
JournalDianji yu Kongzhi Xuebao/Electric Machines and Control
Volume12
Issue number5
StatePublished - Sep 2008
Externally publishedYes

Keywords

  • Controller design
  • Fuzzy systems
  • Quadratic stability

Fingerprint

Dive into the research topics of 'Quadratic stable controller design of discrete fuzzy systems'. Together they form a unique fingerprint.

Cite this