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008			210315s2021 si | s |||| 0|eng d
020			_a9789811602931
024	7		_a10.1007/978-981-16-0293-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aHF5548.2 _b2021 EB
100			_aShi, Dawei _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _998007
245	1	0	_aEvent-Triggered Active Disturbance Rejection Control : _bTheory and Applications / _cby Dawei Shi, Yuan Huang, Junzheng Wang, Ling Shi.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XV, 228 páginas) _b76 ilustraciones, 73 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Systems, Decision and Control _x2198-4190 _v356
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aIntroduction -- Discrete-time extended state observer -- Event-triggered extended state observer design -- Event-triggered active disturbance rejection control -- Dealing with unmatched uncertainties -- Extension to event-triggered high-gain control -- Application to DC motor control -- Application to attitude control of a rigid spacecraft -- Event-triggered adaptive disturbance rejection for artificial pancreas -- Summary and Future work -- Review of stability analysis.
520	3		_aThe past few years have seen the attention and rapid developments in event-triggered sampled-data systems, in which the effect of event-triggered sensor measurements and controller updates is explored in controller analysis and design. This book offers the first systematic treatment of event-triggered sampled-data control system design using active disturbance rejection control (ADRC), an effective approach that is popular in both theoretic research and industrial applications. Extensive application examples with numerous illustrations are included to show how the event-triggered ADRC with theoretic performance guarantees can be implemented in engineering systems and how the performance can be actually achieved. For theoretic researchers and graduate students, the presented results provide new directions in theoretic research on event-triggered sampled-data systems; for control practitioners, the book offers an effective approach to achieving satisfactory performance with limited sampling rates.
988			_aSpringer_Robotics_2021
650		7	_2embne _9141180 _aProceso de datos
700			_aHuang, Yuan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9681026
700			_aWang, Junzheng _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9681027
700			_aShi, Ling _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _998008
776	0	8	_iPrinted edition: _z9789811602924
776	0	8	_iPrinted edition: _z9789811602948
776	0	8	_iPrinted edition: _z9789811602955
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0293-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE