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Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering
"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 fi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Colección: | Studies in Fuzziness and Soft Computing,
282 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 100 | 1 | |a Chang, Xiao-Heng. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering |h [electronic resource] / |c by Xiao-Heng Chang. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2012. | |
| 300 | |a X, 166 p. |b online resource. | ||
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| 490 | 1 | |a Studies in Fuzziness and Soft Computing, |x 1860-0808 ; |v 282 | |
| 505 | 0 | |a 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. | |
| 520 | |a "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. | ||
| 650 | 0 | |a Control engineering. | |
| 650 | 0 | |a Robotics. | |
| 650 | 0 | |a Automation. | |
| 650 | 0 | |a System theory. | |
| 650 | 0 | |a Control theory. | |
| 650 | 1 | 4 | |a Control, Robotics, Automation. |
| 650 | 2 | 4 | |a Systems Theory, Control . |
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| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642432705 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642286339 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642286315 |
| 830 | 0 | |a Studies in Fuzziness and Soft Computing, |x 1860-0808 ; |v 282 | |
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| 950 | |a Engineering (R0) (SpringerNature-43712) | ||