Residual Generator for a Class of Nonlinear Systems Described by Takagi-Sugeno Models

  • Dušan Krokavec
  • Anna Filasová
  • Vratislav Hladký
Chapter
Part of the Topics in Intelligent Engineering and Informatics book series (TIEI, volume 2)

Abstract

The paper presents the principle of fuzzy-observer-based residual generator design for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable, as well as un-measurable premise variables. The problem addressed can be indicated as approach giving sufficient design conditions outlined in the terms of linear matrix inequalities, and possess a global stable structure. Simulation results illustrate the design procedures and demonstrate the basic performances of the proposed residual generator structures.

Keywords

Fault detection residual generators fuzzy observers convex optimization linear matrix inequalities 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Dušan Krokavec
    • 1
  • Anna Filasová
    • 1
  • Vratislav Hladký
    • 1
  1. 1.Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial IntelligenceTechnical University of KošiceKošiceSlovakia

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