000			03826nam a2200433 i 4500
999			_c121969 _d121969
001			121969
003			ES-MaUEC
005			20230102114156.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			200709s2020 gw a o |||| 0|eng d
020			_a9783030443566
024	7		_a10.1007/978-3-030-44356-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ217.5 _b2020 EB
100	1		_aBongiorno Jr., Joseph J. _eautor _4http://id.loc.gov/vocabulary/relators/aut _9675670
245	1	0	_aDesign of Linear Multivariable Feedback Control Systems : _bThe Wiener-Hopf Approach using Transforms and Spectral Factorization _cby Joseph J. Bongiorno Jr., Kiheon Park
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XI, 453 páginas) _b147 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1. Introduction -- Chapter 2. Stabilizing Controllers, Tracking, and Disturbance Rejection -- Chapter 3. H2 Design of Multivariable Control Systems -- Chapter 4. H2 Design of Multivariable Control Systems with Decoupling -- Chapter 5. Numerical Calculation of Wiener-Hopf Controllers.
520			_aThis book contains a derivation of the subset of stabilizing controllers for analog and digital linear time-invariant multivariable feedback control systems that insure stable system errors and stable controller outputs for persistent deterministic reference inputs that are trackable and for persistent deterministic disturbance inputs that are rejectable. For this subset of stabilizing controllers, the Wiener-Hopf methodology is then employed to obtain the optimal controller for which a quadratic performance measure is minimized. This is done for the completely general standard configuration and methods that enable the trading off of optimality for an improved stability margin and/or reduced sensitivity to plant model uncertainty are described. New and novel results on the optimal design of decoupled (non-interacting) systems are also presented. The results are applied in two examples: the one- and three-degree-of-freedom configurations. These demonstrate that the standard configuration is one encompassing all possible feedback configurations. Each chapter is completed by a group of worked examples, which reveal additional insights and extensions of the theory presented in the chapter. Three of the examples illustrate the application of the theory to two physical cases: the depth and pitch control of a submarine and the control of a Rosenbrock process. In the latter case, designs with and without decoupling are compared. This book provides researchers and graduate students working in feedback control with a valuable reference for Wiener-Hopf theory of multivariable design. Basic knowledge of linear systems and matrix theory is required.
988			_aSpringer_Robotics_03082020
650		7	_2embne _aSistemas de control inteligente _9407082
700	1		_aPark, Kiheon _eautor _4http://id.loc.gov/vocabulary/relators/aut _9675671
710	2		_aSpringerLink (Online service) _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9783030443559
776	0	8	_iPrinted edition: _z9783030443573
776	0	8	_iPrinted edition: _z9783030443580
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-44356-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b08/2020 _dz _ek _zSI