LEADER 03958nam 22006615 450 001 9910299876503321 005 20200705141401.0 010 $a3-319-62902-6 024 7 $a10.1007/978-3-319-62902-5 035 $a(CKB)4100000000881483 035 $a(DE-He213)978-3-319-62902-5 035 $a(MiAaPQ)EBC5106935 035 $a(PPN)220126127 035 $a(EXLCZ)994100000000881483 100 $a20171015d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Gain-Scheduling and Fault Tolerant Control Techniques /$fby Damiano Rotondo 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXIII, 255 p. 63 illus., 34 illus. in color.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral thesis accepted by Universitat Polite?cnica de Catalunya, Barcelona, Spain." 311 $a3-319-62901-8 320 $aIncludes bibliographical references. 327 $aIntroduction.-  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 recon?gured reference model and virtual actuators -- Fault tolerant control of unstable LPV systems subject to actuator saturations and fault isolation delay -- Conclusions and future work. 330 $aThis thesis reports on novel methods for gain-scheduling and fault tolerant control (FTC). It begins by analyzing the connection between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms. This is then followed by a detailed description of the design of robust and shifting state-feedback controllers for these systems. Furthermore, it presents two approaches to fault-tolerant control: the first is based on a robust polytopic controller design, while the second involves a reconfiguration of the reference model and the addition of virtual actuators into the loop. In short, the thesis offers a thorough review of the state-of-the art in gain scheduling and fault-tolerant control, with a special emphasis on LPV and TS systems. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aAutomatic control 606 $aComputational intelligence 606 $aRobotics 606 $aAutomation 606 $aSystem theory 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 615 0$aAutomatic control. 615 0$aComputational intelligence. 615 0$aRobotics. 615 0$aAutomation. 615 0$aSystem theory. 615 14$aControl and Systems Theory. 615 24$aComputational Intelligence. 615 24$aRobotics and Automation. 615 24$aSystems Theory, Control. 676 $a303.4 700 $aRotondo$b Damiano$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064397 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299876503321 996 $aAdvances in Gain-Scheduling and Fault Tolerant Control Techniques$92537850 997 $aUNINA