Advances in Gain-scheduling and Fault Tolerant Control Techniques 1st ed.

Author

• Rotondo, Damiano

Additional Author(s)

-

Publisher

Cham, Switzerland : Springer International Publishing, 2018

Language

English

ISBN

9783319629025

Series

Springer Theses, Recognizing Outstanding Ph.D. Research

Subject(s)

• COMPUTATIONAL INTELLIGENCE
• ROBOTICS
• SYSTEM THEORY

Notes

. .

Abstract

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 Dimension

Number of Page(s)

1 online resource (xxiii, 255 p.)

Dimension

-

Other Desc.

ill. (in col.)

Summary / Review / Table of Content

Introduction.- 
Part 1 -- 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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00568/20	620.00452 Rot A	Online !	Available