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Process Dynamics and Control: Modeling for control and prediction / Brian, Roffel, Ben Betlem

Por: Colaborador(es): Tipo de material: TextoTextoIdioma: Inglés - [eng] Detalles de publicación: England : John Wiley & Sons, 2006.Edición: 1a edDescripción: xv, 543p.: fig.; 24 x 17 cmISBN:
  • 0470016647
Tema(s):
Contenidos:
1. Introduction to process modeling.--
2. Process modeling fundamentals.--
3. Extended analysis of modeling for process operation.--
4. Desing for process modeling and behavioral models.--
5. Transformation techniques.--
6. Linearization of model equations.--
7. Operating points.--
8. Process simulation.--
9. Frequency response analysis.--
10. General process behavior.--
11. Analysis of a mixing process.--
12. Dynamics of chemical stirred tank reactors.--
13. dynamic analysis of tubularreactors.--
14. Dynamic analysis of heat exchangers.--
15. Dynamics of evaporators and separators.--
16. Dynamic modeling of distillation columns.--
17. Dynamic analysis of fermentation reactors.--
18. Physiological modeling: Glucose-insulin dynamics and cardiovascular modeling.--
19. Introduction to black box modeling.--
20. Basics of linear algebra.--
21. Data conditioning.--
22. Principal component analysis.--
23. Partial least squares.--
24. Time-series identification.--
25. Discrete linear and non-lincar state space modeling.--
26. Model reduction.--
27. Neural networks.--
28. Fuzzy modeling.--
29. Neuro fuzzy modeling.--
30. Hybrid models.--
31. introduction to process control and instrumentation.--
32. Behaviur of controlled processes.--
33. Desing of control sehemes.--
34. Control of distillation columns.--
35. Control of a fluid catalytic cracker.--
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Libros Libros FCEQyN-Posadas 66.011=111 R628 (Browse shelf(Opens below)) 1 Único ejemplar 9938

1. Introduction to process modeling.--

2. Process modeling fundamentals.--

3. Extended analysis of modeling for process operation.--

4. Desing for process modeling and behavioral models.--

5. Transformation techniques.--

6. Linearization of model equations.--

7. Operating points.--

8. Process simulation.--

9. Frequency response analysis.--

10. General process behavior.--

11. Analysis of a mixing process.--

12. Dynamics of chemical stirred tank reactors.--

13. dynamic analysis of tubularreactors.--

14. Dynamic analysis of heat exchangers.--

15. Dynamics of evaporators and separators.--

16. Dynamic modeling of distillation columns.--

17. Dynamic analysis of fermentation reactors.--

18. Physiological modeling: Glucose-insulin dynamics and cardiovascular modeling.--

19. Introduction to black box modeling.--

20. Basics of linear algebra.--

21. Data conditioning.--

22. Principal component analysis.--

23. Partial least squares.--

24. Time-series identification.--

25. Discrete linear and non-lincar state space modeling.--

26. Model reduction.--

27. Neural networks.--

28. Fuzzy modeling.--

29. Neuro fuzzy modeling.--

30. Hybrid models.--

31. introduction to process control and instrumentation.--

32. Behaviur of controlled processes.--

33. Desing of control sehemes.--

34. Control of distillation columns.--

35. Control of a fluid catalytic cracker.--

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