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Starting with a T-S fuzzy system, the objective of this book is to design an H-infinity filter with gain variations that guarantee a prescribed H-infinity performance level. It also shows that the solution can be found by solving linear matrix inequalities.

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Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering investigates the problem of non-fragile H-infinity filter design for Takagi-Sugeno (T-S) fuzzy systems. Given a T-S fuzzy system, the objective of this book is to design an H-infinity filter with the gain variations such that the filtering error system guarantees a prescribed H-infinity performance level. Furthermore, it demonstrates that the solution of non-fragile H-infinity filter design problem can be obtained by solving a set of linear matrix inequalities (LMIs).
The intended audiences are graduate students and researchers both from the fields of engineering and mathematics.
Dr. Xiao-Heng Chang is an Associate Professor at the College of Engineering, Bohai University, Jinzhou, Liaoning, China.

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Introduction.- With Additive Gain Variations.- With Multiplicative Gain Variations for Type I.- With Multiplicative Gain Variations for Type II.- With Linear Fractional Parametric Uncertainties.- A Descriptor Representation Approach.

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From the reviews:

"In this book non-fragile H _ filtering problems for Takagi-Sugeno fuzzy systems are considered. ... Numerical examples are given to illustrate the design methods of each filter. All chapters of this book are written in a unified form that helps readers to see the key steps in solving non-fragile H _ filtering problems for Takagi-Sugeno fuzzy systems. This book is useful for control engineers and fuzzy control researchers working in the area of fuzzy filtering." (Hitoshi Katayama, Mathematical Reviews, Issue 2012 m)

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The author´s research interests include fuzzy systems, non-fragile control systems design, and robust control. The author is an Associate Professor at the College of Engineering, Bohai University, China.

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