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007			cr nn nnnaamaa
008			190521s2019 gw a o |||| 0|eng d
020			_a9783030182281 _9
024	7		_a10.1007/978-3-030-18228-1 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTJ217.5 _b2019 EB
100	1		_aDíaz-Rodríguez, Iván D. _eautor _0(orcid)0000-0001-8887-7461 _1https://orcid.org/0000-0001-8887-7461 _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aAnalytical Design of PID Controllers _cby Iván D. Díaz-Rodríguez, Sangjin Han, Shankar P. Bhattacharyya.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XII, 302 páginas) _b 198 ilustraciones,143 ilustraciones a color
347			_atext file _bPDF
505	0		_aIntroduction to Control -- Stabilizing Sets for Linear Time Invariant Continuous-Time Plants -- Stabilizing Sets for Ziegler-Nichols Plants -- Stabilizing Sets for Linear Time Invariant Discrete-Time Plants -- Computation of Stabilizing Sets From Frequency Response Data -- Gain and Phase Margin Based Design for Continuous-Time Plants -- Gain-Phase Margin Based Design of Discrete Time Controllers -- PID Control of Multivariable Systems -- H∞ Optimal Synthesis for Continuous-Time Systems -- H∞ Optimal Synthesis for Discrete-Time Systems.
520	3		_aThis monograph presents a new analytical approach to the design of proportional-integral-derivative (PID) controllers for linear time-invariant plants. The authors develop a computer-aided procedure, to synthesize PID controllers that satisfy multiple design specifications. A geometric approach, which can be used to determine such designs methodically using 2- and 3-D computer graphics is the result. The text expands on the computation of the complete stabilizing set previously developed by the authors and presented here. This set is then systematically exploited to achieve multiple design specifications simultaneously. These specifications include classical gain and phase margins, time-delay tolerance, settling time and H-infinity norm bounds. The results are developed for continuous- and discrete-time systems. An extension to multivariable systems is also included. Analytical Design of PID Controllers provides a novel method of designing PID controllers, which makes it ideal for both researchers and professionals working in traditional industries as well as those connected with unmanned aerial vehicles, driverless cars and autonomous robots.
650		7	_aSistemas de control inteligente _2embne _9407082
700	1		_aHan, Sangjin. _eautor _0(orcid)0000-0001-7391-4805 _1https://orcid.org/0000-0001-7391-4805 _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aBhattacharyya, Shankar P. _eautor _0(orcid)0000-0001-9207-3298 _1https://orcid.org/0000-0001-9207-3298 _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783030182274
776	0	8	_iPrinted edition: _z9783030182304
776	0	8	_iPrinted edition: _z9783030182298
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-18228-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b09/2019 _cm _dz _ea _feng _ggw _h0
999			_c111272 _d111272 _x1