LEADER 04546nam 22007335 450 001 9910299666603321 005 20200701111819.0 010 $a1-4471-6606-X 024 7 $a10.1007/978-1-4471-6606-1 035 $a(CKB)3710000000261516 035 $a(EBL)1965997 035 $a(OCoLC)894508473 035 $a(SSID)ssj0001372509 035 $a(PQKBManifestationID)11881966 035 $a(PQKBTitleCode)TC0001372509 035 $a(PQKBWorkID)11305230 035 $a(PQKB)11265441 035 $a(DE-He213)978-1-4471-6606-1 035 $a(MiAaPQ)EBC1965997 035 $a(PPN)182098907 035 $a(EXLCZ)993710000000261516 100 $a20141016d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aS-Variable Approach to LMI-Based Robust Control$b[electronic resource] /$fby Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier 205 $a1st ed. 2015. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2015. 215 $a1 online resource (260 p.) 225 1 $aCommunications and Control Engineering,$x0178-5354 300 $aDescription based upon print version of record. 311 $a1-4471-6605-1 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Robust Performance Analysis of LTI Systems -- Descriptor Case and System Augmentation -- Robust State-Feedback Synthesis for LTI Systems -- Multi-Objective Controller Synthesis for LTI Systems -- Static Output-Feedback Synthesis -- Robust Performance Analysis of Discrete-Time Periodic Systems -- Robust Controller Synthesis of Periodic Discrete-Time Systems. 330 $aThis book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed at all). The specific adaptations of the method necessitated by each problem are also detailed. The problems dealt with in the book have the common traits that: analytic closed-form solutions are not available; and LMIs can be applied to produce numerical solutions with a certain amount of conservatism. Typical examples are robustness analysis of linear systems affected by parametric uncertainties and the synthesis of a linear controller satisfying multiple, often  conflicting, design specifications. For problems in which LMI methods produce conservative results, the SV approach is shown to achieve greater accuracy. The authors emphasize the simplicity and easy comprehensibility of the SV approach and show how it can be implemented in programs without difficulty so that its power becomes readily apparent. The S-Variable Approach to LMI-Based Robust Control is a useful reference for academic control researchers, applied mathematicians and graduate students interested in LMI methods and convex optimization and will also be of considerable assistance to practising control engineers faced with problems of conservatism in their systems and controllers. 410 0$aCommunications and Control Engineering,$x0178-5354 606 $aControl engineering 606 $aSystem theory 606 $aMathematical optimization 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 615 0$aControl engineering. 615 0$aSystem theory. 615 0$aMathematical optimization. 615 14$aControl and Systems Theory. 615 24$aSystems Theory, Control. 615 24$aOptimization. 676 $a519 676 $a519.6 676 $a620 676 $a629.8 700 $aEbihara$b Yoshio$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720990 702 $aPeaucelle$b Dimitri$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aArzelier$b Denis$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299666603321 996 $aS-Variable Approach to LMI-Based Robust Control$92531489 997 $aUNINA