Advances in Gain-Scheduling and Fault Tolerant Control Techniques
Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Artificial Intelligence
| Author: | Damiano Rotondo | ISBN: | 9783319629025 |
| Publisher: | Springer International Publishing | Publication: | October 14, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | Damiano Rotondo |
| ISBN: | 9783319629025 |
| Publisher: | Springer International Publishing |
| Publication: | October 14, 2017 |
| Imprint: | Springer |
| Language: | English |
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. Inaddition 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.
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. Inaddition 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.
