000 04373nam a22005055i 4500
001 978-3-319-42378-4
003 DE-He213
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007 cr nn 008mamaa
008 170306s2017 gw | s |||| 0|eng d
020 _a9783319423784
_9978-3-319-42378-4
024 7 _a10.1007/978-3-319-42378-4
_2doi
040 _aISI Library, Kolkata
050 4 _aQ295
050 4 _aQA402.3-402.37
072 7 _aGPFC
_2bicssc
072 7 _aSCI064000
_2bisacsh
072 7 _aGPFC
_2thema
082 0 4 _a519
_223
100 1 _aKarafyllis, Iasson.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aPredictor Feedback for Delay Systems: Implementations and Approximations
_h[electronic resource] /
_cby Iasson Karafyllis, Miroslav Krstic.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Birkhäuser,
_c2017.
300 _aXVII, 297 p. 12 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSystems & Control: Foundations & Applications,
_x2324-9749
505 0 _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.
520 _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.
650 0 _aSystems theory.
650 1 4 _aSystems Theory, Control.
_0http://scigraph.springernature.com/things/product-market-codes/M13070
650 2 4 _aControl.
_0http://scigraph.springernature.com/things/product-market-codes/T19010
700 1 _aKrstic, Miroslav.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319423777
776 0 8 _iPrinted edition:
_z9783319423791
776 0 8 _iPrinted edition:
_z9783319825649
830 0 _aSystems & Control: Foundations & Applications,
_x2324-9749
856 4 0 _uhttps://doi.org/10.1007/978-3-319-42378-4
912 _aZDB-2-SMA
942 _cEB
950 _aMathematics and Statistics (Springer-11649)
999 _c427089
_d427089