Advances in Gain-Scheduling and Fault Tolerant Control Techniques

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-fee...

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Bibliographic Details
Main Author: Rotondo, Damiano (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Control engineering.
Computational intelligence.
Robotics.
Automation.
System theory.
Control theory.
Control and Systems Theory.
Computational Intelligence.
Control, Robotics, Automation.
Systems Theory, Control.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XXIII, 255 p. 63 illus., 34 illus. in color. online resource.
ISBN:9783319629025
ISSN:2190-5061
DOI:10.1007/978-3-319-62902-5

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