AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 135
... changes , operational and control practices and the limitations of metrology currently used . We illustrate some of the key modeling and control challenges by reviewing several cases where advanced process control has been applied to ...
... changes , operational and control practices and the limitations of metrology currently used . We illustrate some of the key modeling and control challenges by reviewing several cases where advanced process control has been applied to ...
Page 169
... change leads to a change of the dynamics ( including changes of the dimensions of the variables x and z ) , but x and z cannot jump due to mode changes , similar to the Tavernini model . Jumps are enforced by the event input d . If d is ...
... change leads to a change of the dynamics ( including changes of the dimensions of the variables x and z ) , but x and z cannot jump due to mode changes , similar to the Tavernini model . Jumps are enforced by the event input d . If d is ...
Page 265
... changes are equal . Identifying those changes with the greatest impact on the manufacturing goals is more important that finding every process change that occurred . For example , finding every level instrument zero error in the plant ...
... changes are equal . Identifying those changes with the greatest impact on the manufacturing goals is more important that finding every process change that occurred . For example , finding every level instrument zero error in the plant ...
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