AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 89
... significant association with e ,. Both the magnitude and extent of statistically significant cross - correlation coefficients provide some indication of the relative inportance of different measured disturbances with respect to their ...
... significant association with e ,. Both the magnitude and extent of statistically significant cross - correlation coefficients provide some indication of the relative inportance of different measured disturbances with respect to their ...
Page 90
... significant problem that we've frequently encountered is the presence of significant associations between process disturbance and set point trends . This condition can invalidate the ANOVA results , and yield biased , non - causal ...
... significant problem that we've frequently encountered is the presence of significant associations between process disturbance and set point trends . This condition can invalidate the ANOVA results , and yield biased , non - causal ...
Page 276
... significant modes is selected to satisfy a desired value of ( % variance ) as shown in Fig . 1. It is simple to implement on - line and works very well when the data do not contain significant ad- ditive white noise , or when the ...
... significant modes is selected to satisfy a desired value of ( % variance ) as shown in Fig . 1. It is simple to implement on - line and works very well when the data do not contain significant ad- ditive white noise , or when the ...
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