LEADER 02325nam 2200397 450 001 9910795474803321 005 20230807203147.0 010 $a3-8325-9501-5 035 $a(CKB)4340000000244071 035 $a(MiAaPQ)EBC5231160 035 $a58a1c68b-a4bc-40ae-b93d-3edeb0dd2d03 035 $a(EXLCZ)994340000000244071 100 $a20180523d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA general framework for robust analysis and control $ean integral quadratic constraint based approach /$fJoost Veenman 210 1$aBerlin :$cLogos Verlag Berlin,$d[2015] 210 4$dİ2015 215 $a1 online resource (275 pages) 300 $aPublicationDate: 20150420 311 $a3-8325-3963-8 330 $aLong description: In this thesis we are concerned with the robustness analysis and control of uncertain systems. We built upon a powerful framework, the so-called integral quadratic constraint (IQC) approach, which enables us, not only to efficiently perform robust stability and performance analysis for a large class of uncertain systems, but also to systematically design robust controllers via solving linear matrix inequalities (LMIs) and convex optimization problems. Indeed, as main contribution, we reveal that the IQC-framework is not only useful for analysis purposes, but also has great potential for a rather diverse class of synthesis questions, some of which have already been addressed in the literature, while others have not. This includes scenarios such as nominal output feedback control, nominal gain-scheduling control, robust estimator or observer design, robust feedforward control, generalized l2-synthesis, multi-objective and structured controller synthesis, robust open-loop controller synthesis, gain-scheduling control with uncertain performance weights and robust controller synthesis with unstable weight, among others. 606 $aRobust control 615 0$aRobust control. 676 $a629.8312 700 $aVeenman$b Joost$01540959 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910795474803321 996 $aA general framework for robust analysis and control$93792870 997 $aUNINA