Advances in Gain-Scheduling and Fault Tolerant Control Techniques

• Main Author: Rotondo, Damiano (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: Control engineering.; Computational intelligence.; Robotics.; Automation.; System theory.; Control and Systems Theory.; Computational Intelligence.; Robotics and Automation.; Systems Theory, Control.
• Physical Description: XXIII, 255 p. 63 illus., 34 illus. in color. online resource.
• ISBN: 9783319629025
• ISSN: 2190-5053
• DOI: 10.1007/978-3-319-62902-5

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.