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EBOOK
Author Chang, Xiao-Heng.
Title Takagi-Sugeno fuzzy systems non-fragile H-infinity filtering / by Xiao-Heng Chang.
Imprint Berlin : Springer, 2012.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Studies in fuzziness and soft computing, 1434-9922 ; 282
Studies in fuzziness and soft computing ; 282.
Subject Fuzzy systems.
Engineering.
Systems theory.
Control, Robotics, Mechatronics.
Systems Theory, Control.
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Studies in fuzziness and soft computing, 1434-9922 ; 282
Studies in fuzziness and soft computing ; 282.
Subject Fuzzy systems.
Engineering.
Systems theory.
Control, Robotics, Mechatronics.
Systems Theory, Control.
Description 1 online resource.
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.
Summary "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.
Bibliography Note Includes bibliographical references.
ISBN 9783642286322 (electronic bk.)
3642286321 (electronic bk.)
3642286313 (print)
9783642286315 (print)
9783642286315
ISBN/ISSN 10.1007/978-3-642-28632-2
OCLC # 792819241
Additional Format Printed edition: 9783642286315