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710	2		_aSpringerLink (Online service) _9106996
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003			ES-MaUEC
005			20230102113516.0
008			190212s2019 gw a o |||| 0|eng d
020			_a9783030103897
024	7		_a10.1007/978-3-030-10389-7 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTJ216 _b2019 EB
100	1		_aRadisavljević-Gajić, Verica _eautor _9671446
245	1	0	_aMulti-Stage and Multi-Time Scale Feedback Control of Linear Systems with Applications to Fuel Cells _cby Verica Radisavljević-Gajić, Miloš Milanović, Patrick Rose.
264		1	_aCham _bImprint: Springer _c2019
300			_a1 recurso en línea (XI, 214 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aMechanical Engineering Series _x0941-5122
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Continuous-Time Two-Stage Feedback Controller Design -- Discrete-Time Two-Stage Feedback Controller Design -- Three-Stage Continuous-Time Feedback Controller Design -- Three-Stage Discrete-Time Feedback Controller Design -- Four-Stage Continuous-Time Feedback Controller Design -- Modelling and System Analysis of PEM Fuel Cells -- Control of a Hydrogen Gas Processing System -- Extensions to Multi-Stages and Multi-Time Scale -- References -- Index.
520	3		_aThis book provides a comprehensive study of multi-stage and multi-time scale design of feedback controllers for linear dynamic systems. It examines different types of controllers as can be designed for different parts of the system (subsystems) using corresponding feedback gains obtained by performing calculations (design) only with subsystem (reduced-order) matrices.The advantages of the multi-stage/multi-time scale design are presented and conditions for implementation of these controllers are established. Complete derivations and corresponding design techniques are presented for two-stage/two-time-scale, three-stage/three-time scale, and four-stage/four-time-scale systems. The techniques developed have potential applications to a large number of real physical systems. The design techniques are demonstrated on examples of mathematical models of fuel cells, especially the proton exchange membrane fuel cell. Explains how different types of controllers can be designed for different parts of the system (subsystems) using feedback gains obtained by calculations (design) with only subsystem (reduced‐order) matrices; Illustrates a reduction of computational requirements because all numerical operations are done with matrices of the reduced‐order corresponding to the subsystems; Details how very accurate computations are performed with well‐conditioned lower‐order matrices; Discusses steps to facilitate robustness and reliability as well as improved feedback control loop security, important for cyber physical systems.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aSistemas de control por realimentación _9145605
700	1		_aMilanović, Miloš. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aRose, Patrick. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030103880
776	0	8	_iPrinted edition: _z9783030103903
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-10389-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b11/2019 _ek _zSI