000			03171nam a2200385 i 4500
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
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008			180416s2018 si | s |||| 0|eng d
020			_a9789811082672
024	7		_a10.1007/978-981-10-8267-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ217.5 _b2018 EB
100	1		_aShen, Dong, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2010073243 _1http://viaf.org/viaf/953149068437265730004/ _9670887 _d1982-
245	1	0	_aIterative Learning Control with Passive Incomplete Information : _bAlgorithms Design and Convergence Analysis _cby Dong Shen
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIV, 294 páginas) _b 89 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
520	3		_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.
988			_aEBSPRINGER_2018
650		7	_2embne _aSistemas de control inteligente _9407082
650		7	_2embne _aMétodos iterativos _9670888
776	0	8	_iEdición impresa: _z9789811082665
776	0	8	_iEdición impresa: _z9789811082689
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-8267-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI