Chang, Xiao-Heng.
Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering [electronic resource] / by Xiao-Heng Chang. - X, 165p. 25 illus. online resource. - Studies in Fuzziness and Soft Computing, 282 1434-9922 ; . - Studies in Fuzziness and Soft Computing, 282 .
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.
9783642286322
10.1007/978-3-642-28632-2 doi
Engineering.
Systems theory.
Engineering.
Control, Robotics, Mechatronics.
Systems Theory, Control.
TJ210.2-211.495 TJ163.12
629.8
Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering [electronic resource] / by Xiao-Heng Chang. - X, 165p. 25 illus. online resource. - Studies in Fuzziness and Soft Computing, 282 1434-9922 ; . - Studies in Fuzziness and Soft Computing, 282 .
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.
9783642286322
10.1007/978-3-642-28632-2 doi
Engineering.
Systems theory.
Engineering.
Control, Robotics, Mechatronics.
Systems Theory, Control.
TJ210.2-211.495 TJ163.12
629.8