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Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models (Studies in Fuzziness and Soft Computing (262)) by Zsófia Lendek; Thierry Marie Guerra; Robert Babuška; Bart De Schutter is a nonfiction available to read on EtoBox.

What is Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models (Studies in Fuzziness and Soft Computing (262)) about?

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,

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Author

Zsófia Lendek; Thierry Marie Guerra; Robert Babuška; Bart De Schutter

Publisher

Springer-Verlag Berlin Heidelberg

Published

2011

Language

EN

ISBN

9783642167768

Category

nonfiction

Subjects

Engineering, Mathematics, Science