Advances in Gain-Scheduling and Fault Tolerant Control Techniques / by Damiano Rotondo.
By: Rotondo, Damiano, autor
Contributor(s): SpringerLink (Online service)
Material type:
E-bookSeries: (Springer Theses, Recognizing Outstanding Ph.D. Research,, 2190-5053); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Description: 1 recurso en línea (XXIII, 255 páginas 63 ilustraciones, 34 ilustraciones a color).ISBN: 9783319629025.Subject: Tolerancia a los fallos (Informática)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA169 2018 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.13022091 |
Introduction.- Part -- Advances in gain-scheduling techniques -- Background on gain-scheduling.- Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models -- Robust state-feedback control of uncertain LPV systems.- Shifting state-feedback control of LPV systems -- part 2 -- Background on fault tolerant control.- Fault tolerant control of LPV systems using robust state-feedback control.- Fault tolerant control of LPV systems using reconfigured reference model and virtual actuators -- Fault tolerant control of unstable LPV systems subject to actuator saturations and fault isolation delay -- Conclusions and future work.
This thesis reports on novel methods for gain-scheduling and fault tolerant control (FTC). It begins by analyzing the connection between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms. This is then followed by a detailed description of the design of robust and shifting state-feedback controllers for these systems. Furthermore, it presents two approaches to fault-tolerant control: the first is based on a robust polytopic controller design, while the second involves a reconfiguration of the reference model and the addition of virtual actuators into the loop. In short, the thesis offers a thorough review of the state-of-the art in gain scheduling and fault-tolerant control, with a special emphasis on LPV and TS systems.
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