LEADER 04448nam 22005535 450 001 9910254292903321 005 20250609110928.0 010 $a3-319-42378-9 024 7 $a10.1007/978-3-319-42378-4 035 $a(CKB)3710000001094817 035 $a(DE-He213)978-3-319-42378-4 035 $a(MiAaPQ)EBC4818766 035 $a(PPN)199767300 035 $a(MiAaPQ)EBC6241898 035 $a(EXLCZ)993710000001094817 100 $a20170306d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPredictor Feedback for Delay Systems: Implementations and Approximations /$fby Iasson Karafyllis, Miroslav Krstic 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2017. 215 $a1 online resource (XVII, 297 p. 12 illus., 11 illus. in color.) 225 1 $aSystems & Control: Foundations & Applications,$x2324-9749 311 08$a3-319-42377-0 320 $aIncludes bibliographical references and index. 327 $aPreview of Predictor Feedback and Delay Compensation -- Part I: Linear Systems Under Predictor Feedback -- Linear Systems with State Measurement -- Linear Systems with Output Measurement -- Part II: Nonlinear Systems Under Predictor Feedback -- Nonlinear Systems with State Measurement -- Nonlinear Systems with Output Measurement -- Application to the Chemostat -- Part III: Extensions of Predictor Feedback -- Systems Described by Integral Delay Equations -- Discrete-Time Systems. 330 $aThis monograph bridges the gap between the nonlinear predictor as a concept and as a practical tool, presenting a complete theory of the application of predictor feedback to time-invariant, uncertain systems with constant input delays and/or measurement delays. It supplies several methods for generating the necessary real-time solutions to the systems? nonlinear differential equations, which the authors refer to as approximate predictors. Predictor feedback for linear time-invariant (LTI) systems is presented in Part I to provide a solid foundation on the necessary concepts, as LTI systems pose fewer technical difficulties than nonlinear systems. Part II extends all of the concepts to nonlinear time-invariant systems. Finally, Part III explores extensions of predictor feedback to systems described by integral delay equations and to discrete-time systems. The book?s core is the design of control and observer algorithms with which global stabilization, guaranteed in the previous literature with idealized (but non-implementable) predictors, is preserved with approximate predictors developed in the book. An applications-driven engineer will find a large number of explicit formulae, which are given throughout the book to assist in the application of the theory to a variety of control problems. A mathematician will find sophisticated new proof techniques, which are developed for the purpose of providing global stability guarantees for the nonlinear infinite-dimensional delay system under feedback laws employing practically implementable approximate predictors. Researchers working on global stabilization problems for time-delay systems will find this monograph to be a helpful summary of the state of the art, while graduate students in the broad field of systems and control will advance their skills in nonlinear control design and the analysis of nonlinear delay systems. 410 0$aSystems & Control: Foundations & Applications,$x2324-9749 606 $aSystem theory 606 $aAutomatic control 606 $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 615 0$aSystem theory. 615 0$aAutomatic control. 615 14$aSystems Theory, Control. 615 24$aControl and Systems Theory. 676 $a006.31 700 $aKarafyllis$b Iasson$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767164 702 $aKrstic$b Miroslav$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254292903321 996 $aPredictor Feedback for Delay Systems: Implementations and Approximations$92275304 997 $aUNINA