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001 978-3-319-61143-3
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008 170818s2018 gw | s |||| 0|eng d
020 _a9783319611433
_9978-3-319-61143-3
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
_2thema
082 0 4 _a629.8
_223
100 1 _aCorriou, Jean-Pierre.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aProcess Control
_h[electronic resource] :
_bTheory and Applications /
_cby Jean-Pierre Corriou.
250 _a2nd ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXIII, 860 p. 382 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
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 _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.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aControl engineering.
650 0 _aChemical engineering.
650 0 _aComputational intelligence.
650 0 _aQuality control.
650 0 _aReliability.
650 0 _aIndustrial safety.
650 1 4 _aControl and Systems Theory.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T19010
650 2 4 _aIndustrial Chemistry/Chemical Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/C27000
650 2 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aQuality Control, Reliability, Safety and Risk.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T22032
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319611426
776 0 8 _iPrinted edition:
_z9783319611440
776 0 8 _iPrinted edition:
_z9783319870144
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-61143-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c244518
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