Publication detail

Robust Fuzzy Observer Design for Nonlinear Systems

Michal Polanský, Cemal Ardil

Original Title

Robust Fuzzy Observer Design for Nonlinear Systems

Type

journal article - other

Language

English

Original Abstract

This paper shows a new method for design of fuzzy observers for Takagi-Sugeno systems. The method is based on Linear matrix inequalities (LMIs) and it allows to insert Hinf constraint into the design procedure. The speed of estimation can be tuned by specification of a decay rate of the observer closed loop system. We discuss here also the influence of parametric uncertainties at the output control system stability.

Keywords

Hinf norm, Linear Matrix Inequalities, Observers, Takagi-Sugeno Systems, Parallel Distributed Compensation

Authors

Michal Polanský, Cemal Ardil

RIV year

2006

Released

1. 8. 2006

ISBN

1305-5313

Periodical

Transactions on Engineering, Computing and Technology

Year of study

2006

Number

v14

State

Republic of Turkey

Pages from

13

Pages to

17

Pages count

5

BibTex

@article{BUT43616,
  author="Michal {Polanský}",
  title="Robust Fuzzy Observer Design for Nonlinear Systems",
  journal="Transactions on Engineering, Computing and Technology",
  year="2006",
  volume="2006",
  number="v14",
  pages="5",
  issn="1305-5313"
}