AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 63
... limited time only . In addition , demand may vary unexpectedly and quite rapidly . This creates the need for just - in - time production methods . Given that production equipment is limited , the selection of what snack to produce , at ...
... limited time only . In addition , demand may vary unexpectedly and quite rapidly . This creates the need for just - in - time production methods . Given that production equipment is limited , the selection of what snack to produce , at ...
Page 89
... limited value . In most of our work we often would like to know not only if a loop disturbance has a significant relationship with e ,, but also the dynamic response characteristics associated with the measured disturbance trend and e ...
... limited value . In most of our work we often would like to know not only if a loop disturbance has a significant relationship with e ,, but also the dynamic response characteristics associated with the measured disturbance trend and e ...
Page 348
... limited experience to date indicates that if the overshoot specifications are not met with large equal filter time constants , they will not be met by increasing individual filter time constants . If no filter time constants can be ...
... limited experience to date indicates that if the overshoot specifications are not met with large equal filter time constants , they will not be met by increasing individual filter time constants . If no filter time constants can be ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
Common terms and phrases
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