000			03156nam a22004215c 4500
988			_aSpringer_Robotics_2020
999			_c115435 _d115435 _x1
001			115435
003			ES-MaUEC
005			20230110040234.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190831s2020 gw a o |||| 0|eng d
020			_a9783030235932
024	7		_a10.1007/978-3-030-23593-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ213 _b2020 EB
100	1		_aDomański, Pawel D. _eautor _9671747
245	1	0	_aControl performance assessment : _btheoretical analyses and industrial practice _cby Paweł D. Domański
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XVIII, 367 páginas) _b519 ilustraciones, 266 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4182 _v245
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aDoes control quality matter? -- Step response indexes -- Basic data-based measures -- Statistical measures -- Model-based measures -- Frequency based methods -- Alternative indexes -- Business Key Performance Indicators - KPIs -- Control improvement benefit estimation -- Simulation setup -- PID single element control -- MIMO PID based control -- Industrial simulated examples -- MPC control examples -- CPA industrial applications -- Control Feasibility Study.
520	3		_aThis book presents a comprehensive review of currently available Control Performance Assessment methods. It covers a broad range of classical and modern methods, with a main focus on assessment practice, and is intended to help practitioners learn and properly perform control assessment in the industrial reality. Further, it offers an educational guide for control engineers, who are currently in high demand in the industry. The book consists of three main parts. Firstly, a comprehensive review of available approaches is presented and discussed. The classical canon methods are extended with a discussion of nonlinear and complex alternative measures using non-Gaussian statistics, persistence and fractional calculations. Secondly, the methods' applicability aspects are visualized with the aid of computer simulations, covering the most popular control philosophies used in the process industry. Lastly, a critical review of the methods discussed, on the basis of real-world industrial examples, rounds out the coverage. .
650		7	_2embne _aControl automático _9405125
650		7	_2embne _9150643 _aControl de procesos
776	0	8	_iPrinted edition: _z9783030235925
776	0	8	_iPrinted edition: _z9783030235949
776	0	8	_iPrinted edition: _z9783030235956
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-23593-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI