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Studies in Fuzziness and Soft Computing #282: Takagi-Sugeno Fuzzy Systems Non-Fragile H-Infinity Filtering

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Studies in Fuzziness and Soft Computing #282: Takagi-Sugeno Fuzzy Systems Non-Fragile H-Infinity Filtering Cover

 

Synopses & Reviews

Publisher Comments:

"Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering" investigates the problem of non-fragile H-infinity filter design for T-S fuzzy systems. The nonlinear plant is represented by a T-S fuzzy model. 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. He is also a Postdoctoral Researcher at the College of Information Science and Engineering, Northeastern University, Shenyang, China.

Synopsis:

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.

Synopsis:

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

About the Author

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.

Table of Contents

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.

Product Details

ISBN:
9783642286315
Author:
Chang, Xiao-heng
Publisher:
Springer
Author:
Chang, Xiao-Heng
Subject:
Automation
Subject:
Fuzzy systems
Subject:
H-infinity filtering
Subject:
LMIs
Subject:
Linear Matrix Inequalities
Subject:
Non-Fragile
Subject:
Nonlinear systems
Subject:
Takagi-Sugeno Fuzzy Models
Subject:
Control, Robotics, Mechatronics
Subject:
Systems Theory, Control
Subject:
Science Reference-Technology
Copyright:
Edition Description:
2012
Series:
Studies in Fuzziness and Soft Computing
Series Volume:
282
Publication Date:
20120607
Binding:
HARDCOVER
Language:
English
Pages:
175
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Artificial Intelligence » Fuzzy Logic
History and Social Science » Sociology » General
Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Systems Theory

Studies in Fuzziness and Soft Computing #282: Takagi-Sugeno Fuzzy Systems Non-Fragile H-Infinity Filtering New Hardcover
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Product details 175 pages Springer - English 9783642286315 Reviews:
"Synopsis" by , 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.
"Synopsis" by , 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
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