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Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models

  • Book
  • © 2011

Overview

  • State of the art of designing fuzzy observers
  • Written by leading experts
  • Provides a range of methods and tools to design observers for nonlinear systems

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 262)

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Table of contents (7 chapters)

Keywords

About this book

Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system

Authors and Affiliations

  • Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands

    Zsófia Lendek, Robert Babuška, Bart Schutter

  • Université de Valenciennes et du Hainaut-Cambrésis, LAMIH CNRS FRE 3304, Valenciennes Cedex 9, France

    Thierry Marie Guerra

Bibliographic Information

  • Book Title: Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models

  • Authors: Zsófia Lendek, Thierry Marie Guerra, Robert Babuška, Bart Schutter

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-16776-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-16775-1Published: 27 October 2010

  • Softcover ISBN: 978-3-642-26567-9Published: 03 December 2012

  • eBook ISBN: 978-3-642-16776-8Published: 26 November 2010

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: IX, 196

  • Topics: Computational Intelligence, Artificial Intelligence

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