000			04279nam a22004335i 4500
999			_c362408 _d362408
001			362408
003			ES-MaUEC
005			20230102121539.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			210522s2021 sz | s |||| 0|eng d
020			_a9783030723118
024	7		_a10.1007/978-3-030-72311-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ223.P55 _b2021 EB
100			_aRojas, José David _eautor _0(orcid)0000-0003-1176-9061 _1https://orcid.org/0000-0003-1176-9061 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9682350
245	1	0	_aIndustrial PID Controller Tuning : _bWith a Multiobjective Framework Using MATLAB® _cby José David Rojas, Orlando Arrieta, Ramon Vilanova.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XIV, 148 páginas) _b94 ilustraciones, 85 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aAdvances in Industrial Control _x2193-1577
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aIntroduction -- Process Control as a Multi-Objective Problem -- Multi-Objective Optimization Methods -- Implementation of the Multi-Objective Optimization Methods Using MATLAB® -- Application Examples.
520	3		_aIndustrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-weighted absolute value of the error) but without taking advantage of available multi-objective optimization methods. The book does make use of multi-objective optimization to account for several sources of disturbance, applying them to a more realistic problem: how to select the tuning of a controller when both servo and regulator responses are important. The authors review the different deterministic multi-objective optimization methods. In order to ameliorate the consequences of the computational expense typically involved in their use-specifically the generation of multiple solutions among which the control engineer still has to choose-algorithms for two-degree-of-freedom PID control are implemented in MATLAB®. MATLAB code and a MATLAB-compatible program are provided for download and will help readers to adapt the ideas presented in the text for use in their own systems. Further practical guidance is offered by the inclusion of several examples of common industrial processes amenable to the use of the authors' methods. Researchers interested in non-heuristic approaches to controller tuning or in decision-making after a Pareto set has been established and graduate students interested in beginning a career working with PID control and/or industrial controller tuning will find this book a valuable reference and source of ideas. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
988			_aSpringer_Robotics_2021
650		7	_2embne _aControl automático _9405125
700			_aArrieta, Orlando _eautor _0(orcid)0000-0002-4004-8573 _1https://orcid.org/0000-0002-4004-8573 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9682351
700	1		_aVilanova, Ramón _eautor _0(orcid)0000-0002-8035-5199 _1https://orcid.org/0000-0002-8035-5199 _4aut _4http://id.loc.gov/vocabulary/relators/aut _939446
776	0	8	_iPrinted edition: _z9783030723101
776	0	8	_iPrinted edition: _z9783030723125
776	0	8	_iPrinted edition: _z9783030723132
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72311-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE