Advances in Gain-Scheduling and Fault Tolerant Control Techniques [electronic resource] / by Damiano Rotondo.

Por: Rotondo, Damiano [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoSeries Springer Theses, Recognizing Outstanding Ph.D. ResearchEditor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XXIII, 255 p. 63 illus., 34 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319629025Tema(s): Control engineering | Computational intelligence | Robotics | Automation | System theory | Control and Systems Theory | Computational Intelligence | Robotics and Automation | Systems Theory, ControlFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8 Clasificación LoC:TJ212-225Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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Acceso multiusuario

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.

UABC ; Temporal ; 01/01/2021-12/31/2023.

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