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001 978-981-10-8267-2
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008 180416s2018 si | s |||| 0|eng d
020 _a9789811082672
_9978-981-10-8267-2
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aShen, Dong.
_eauthor.
_0(orcid)0000-0003-1063-1351
_1https://orcid.org/0000-0003-1063-1351
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIterative Learning Control with Passive Incomplete Information
_h[electronic resource] :
_bAlgorithms Design and Convergence Analysis /
_cby Dong Shen.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2018.
300 _aXIV, 294 p. 89 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
520 _aThis book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.-a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model-for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aControl engineering.
650 0 _aVibration.
650 0 _aDynamical systems.
650 0 _aDynamics.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
650 2 4 _aVibration, Dynamical Systems, Control.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T15036
650 2 4 _aMathematical and Computational Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11006
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811082665
776 0 8 _iPrinted edition:
_z9789811082689
776 0 8 _iPrinted edition:
_z9789811341052
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-981-10-8267-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c243020
_d243019