03958nam 22006615 450 991029987650332120200705141401.03-319-62902-610.1007/978-3-319-62902-5(CKB)4100000000881483(DE-He213)978-3-319-62902-5(MiAaPQ)EBC5106935(PPN)220126127(EXLCZ)99410000000088148320171015d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Gain-Scheduling and Fault Tolerant Control Techniques /by Damiano Rotondo1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XXIII, 255 p. 63 illus., 34 illus. in color.) Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053"Doctoral thesis accepted by Universitat Politècnica de Catalunya, Barcelona, Spain."3-319-62901-8 Includes bibliographical references.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.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.Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053Automatic controlComputational intelligenceRoboticsAutomationSystem theoryControl and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Robotics and Automationhttps://scigraph.springernature.com/ontologies/product-market-codes/T19020Systems Theory, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/M13070Automatic control.Computational intelligence.Robotics.Automation.System theory.Control and Systems Theory.Computational Intelligence.Robotics and Automation.Systems Theory, Control.303.4Rotondo Damianoauthttp://id.loc.gov/vocabulary/relators/aut1064397MiAaPQMiAaPQMiAaPQBOOK9910299876503321Advances in Gain-Scheduling and Fault Tolerant Control Techniques2537850UNINA