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008			170818s2018 gw | s |||| 0|eng d
020			_a9783319611433
024	7		_a10.1007/978-3-319-61143-3 _2doi
040			_bspa _dES-MaUEC
050		4	_aTP155.75 _bC677 2018 EB
100	1		_aCorriou, Jean-Pierre. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/19790907/
245	1	0	_aProcess Control _bTheory and Applications _cby Jean-Pierre Corriou.
250			_a2nd edition
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XXIII, 860 páginas 382 ilustraciones)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_a1. Dynamic Modelling of Chemical Processes -- 2. Linear Feedback Control -- 3. Stability Analysis -- 4. Design of Feedback Controllers -- 5. Frequency Analysis -- 6. Improvement of Control Systems -- 7. State Representation, Controllability and Observability -- 8. Multivariable Control by Transfer Function Matrix -- 9. Discrete-Time Generalities and Basic Signal Processing -- 10. Identification Principles -- 11. Models and Methods for Parametric Identification -- 12. Parametric Estimation Algorithms -- 13. Digital Control -- 14. Optimal Control -- 15. Generalized Predictive Control -- 16. Model Predictive Control -- 17. Nonlinear Geometric Control -- 18. State Observers -- 19. Nonlinear Control of Reactors with State Estimation -- 20. Distillation Column Control -- 21. Examples and Benchmarks of Typical Processes.
520	3		_aThis textbook introduces the topics and theories of process control step-by-step in increasing complexity, making the learning of detailed techniques and algorithms easier. Whether you are a student starting in control, or an industrial engineer who, at present, only has cursory contact with control, the initial classical approach to continuous control by transfer functions will be of enormous benefit. The more advanced material on discrete control and state-space control, as well as nonlinear control and observers, requires minimal previous knowledge, assisting you to move more easily to the use of high-performance techniques. A range of identification and control methods applicable to industrial processes are accompanied by practical examples, allowing readers to learn the subject both broadly and in depth. The expanded second edition of Process Control explores and introduces detailed topics, such as: new sections on tuning rules for feedback controllers; ne w sequences for parameter identification such as multi-level and multisinusoidal sequences; improved presentation of optimal control with dynamic optimization and model predictive control; deeper coverage of applications of nonlinear geometric control; expanded coverage of state observers, introducing the unscented and ensemble Kalman filters, the particle filter, the bootstrap filter, and providing more profound treatment of the Luenberger observer and high-gain observer; and more examples of process control.  The book helps students to learn by using worked examples throughout the text, along with a downloadable solutions manual for the convenience of instructors. The broad coverage creates an important synthesis of the majority of aspects of process control, which gives a complete view of control theory and possible applications within the field, making the book accessible to engineers and academic researchers alike.
988			_aEBSPRINGER_2018
650		7	_9258151 _aProcesos químicos _xControl
776	0	8	_iEdición impresa: _z9783319611426
776	0	8	_iEdición impresa: _z9783319611440
776	0	8	_iEdición impresa: _z9783319870144
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-61143-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _zSI _eIG