Process dynamics modeling

Bequette, B. W., Process Dynamics Modeling, Analysis and Simulation, Prentice-Hall, Englewood Cliffs, NJ, 1998. 

See Ogunnaike, Babatunde A., and W. Harmon Ray, Process Dynamics, Modeling, and Control, Oxford University Press (1994) Seborg, D., T. F. Edgar, and D. A. Mellichamp, Process Dynamics and Control, 2d ed., Wiley, New York (2003). The z-transform is useful when data is available at only discrete points. Let... 

Bendor, E. A. An Introduction to Mathematical Modeling. John Wiley, New York (1978). Bequette, B. W. Process Dynamics Modeling, Analysis, and Simulation. Prentice-Hall, Englewood Cliffs, NJ (1998). 

Ogunnaike, T. and W. H. Ray. Process Dynamics, Modeling and Control. Oxford University Press, New York (1994). 

Ogunnaike, B.A. and Ray W. H. (1994) Process Dynamics, Modeling, and Control, Oxford Univ. Press. 

B.W. Bequette, Process Dynamics Modeling, Simulation and Control, Prentice Hall, New Jersey, 1998. 

In order to analyze for process problems or design stochastic controllers one usually needs to run full scale plant tests and develop process dynamic models from the resulting data. This section discusses several aspects related to the modelling of polymer reactors for these purposes. 

Both formulations EKF and CEKF were implemented in MatLab 7.3.0.267 (R2006b) and applied in the process dynamic model, previously presented. The system initial condition is an operating point that presents a minimum-phase behavior (lstep changes in the valve distribution flow factors during the process simulation the system moves to an operating region presenting non-minimum phase behavior (l[Pg.523]

Ogunnaike, B. and Ray, W.H. 1995. Process Dynamics Modeling and Control. Oxford Press, New York. Qin, S.J. and BadgweU, T.A. 2003. A Survey of Industrial Model Predictive Control Technology, Control Engineering Practice, 11 733. 

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