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.

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...

Table of Contents:

• 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.