AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
From inside the book
Results 1-3 of 75
Page 87
... response characteristics associated with measured disturbances ( e.g. severe periodicity ) . This type of problem would normally be corrected at the source and not through controller modification . Moreover , auto - correlation analysis ...
... response characteristics associated with measured disturbances ( e.g. severe periodicity ) . This type of problem would normally be corrected at the source and not through controller modification . Moreover , auto - correlation analysis ...
Page 88
... response data . As was the case with auto - correlation analysis , the rating of controller performance against the condition of minimum variance feedback may not be practical in many circumstances . In such cases a minimum bound for ...
... response data . As was the case with auto - correlation analysis , the rating of controller performance against the condition of minimum variance feedback may not be practical in many circumstances . In such cases a minimum bound for ...
Page 94
... response and net average response respectively corresponding to disturbance 2. The net response was obtained by fitting a time series model to the second disturbance trend and then generating an average disturbance 2 input from the time ...
... response and net average response respectively corresponding to disturbance 2. The net response was obtained by fitting a time series model to the second disturbance trend and then generating an average disturbance 2 input from the time ...
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