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Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering [electronic resource] /by Xiao-Heng Chang.

by Chang, Xiao-Heng [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Fuzziness and Soft Computing: 282Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.Description: X, 165p. 25 illus. online resource.ISBN: 9783642286322.Subject(s): Engineering | Systems theory | Engineering | Control, Robotics, Mechatronics | Systems Theory, ControlDDC classification: 629.8 Online resources: Click here to access online
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.
In: Springer eBooksSummary: "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.
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Long Loan MAIN LIBRARY
TJ210.2-211.495 (Browse shelf) Available

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.

"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.

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