AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 63
... possible , a fact that renders it imperative for the product to be within specifications during as large a percentage of the production time as possible . Controlled variables may be difficult or impossible to measure on- line , thus ...
... possible , a fact that renders it imperative for the product to be within specifications during as large a percentage of the production time as possible . Controlled variables may be difficult or impossible to measure on- line , thus ...
Page 273
... possible to extract pure component spectra through a procedure of alternating and constrained least squares optimization . The result of the procedure is an estimate of pure component responses in both instrument orders . These ...
... possible to extract pure component spectra through a procedure of alternating and constrained least squares optimization . The result of the procedure is an estimate of pure component responses in both instrument orders . These ...
Page 347
... possible process models , and for each process variable . Two examples of two input , two output processes show how to apply Mp tuning . Keywords Robustness , Tuning , Uncertain systems , Internal model control , Multivariable control ...
... possible process models , and for each process variable . Two examples of two input , two output processes show how to apply Mp tuning . Keywords Robustness , Tuning , Uncertain systems , Internal model control , Multivariable control ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
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adaptive control AIChE algorithm analysis analytical applications approach auto-correlation batch behavior changes Chem Chemical Engineering chemical process chip closed-loop constraints continuous control problems control system controller design defined developed discrete disturbance dynamic equations estimation example feedback control Figure finite Grafcet horizon hybrid systems identification IEEE implementation input linear control loop manufacturing matrix measured methods model predictive control monitoring Morari multivariable neural networks nonlinear control nonlinear model nonlinear systems on-line operating optimal control output error paper machine parameters Petri net PID controllers plant Proc process control process model programming Pulp and Paper quadratic quadratic program reactor robust robust control scheduling sensors sequence set point significant simulation snack food solution specifications stability step structure synthesis TAPPI Press techniques temperature theory tion trajectory transfer function trend trol uncertainty valve variables variance vector wafer