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710	2		_aSpringerLink (Online service) _9106996
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008			190129s2019 si a o |||| 0|eng d
020			_a9789811361364
024	7		_a10.1007/978-981-13-6136-4 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTJ213 _b2019 EB
100	1		_aShen, Dong, _eautor _9670887 _d1982-
245	1	0	_aIterative Learning Control for Systems with Iteration-Varying Trial Lengths : _bSynthesis and nAalysis _cby Dong Shen, Xuefang Li
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019
300			_a1 recurso en línea (XIV, 256 páginas) _b77 ilustraciones, 72 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Averaging and Expectation Techniques for Linear DT Systems -- Lifting Techniques for Linear DT Systems -- Moving Averaging Techniques for Linear DT Systems -- Switching System Techniques for Linear DT Systems -- Moving Averaging Tehcniques for Nonlinear CT Systems -- Modified Lambda-Norm Techniques for Nonlinear DT Systems -- Sampled-Data Control Techniques for Nonlinear CT Systems -- CEF Techniques for Parameterized Nonlinear CT Systems -- CEF Techniques for Nonparameterized Nonlinear CT Systems -- Summary and Future Research Directions -- Appendix.
520	3		_aThis book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aMétodos iterativos _9670888
650		7	_2embne _aIngeniería mecánica _9146662
650		7	_2embne _aControl automático _9405125
700	1		_aLi, Xuefang, _eautor _9670889 _d1985-
776	0	8	_iPrinted edition: _z9789811361357
776	0	8	_iPrinted edition: _z9789811361371
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-6136-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI