AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
From inside the book
Results 1-3 of 55
Page 16
... effective tuning algorithms have been developed using modified versions of least squares . The following modifications have been con- sidered to improve robustness - Adaptive deadzone to turn estimator on or off - Signal dependent ...
... effective tuning algorithms have been developed using modified versions of least squares . The following modifications have been con- sidered to improve robustness - Adaptive deadzone to turn estimator on or off - Signal dependent ...
Page 267
... effective factors ( i.e. , the effective rank of the data matrix ) is one of the most important decisions to be made in the MVS modeling approach . Before the number of factors is to be determined from the data matrix , the raw data ...
... effective factors ( i.e. , the effective rank of the data matrix ) is one of the most important decisions to be made in the MVS modeling approach . Before the number of factors is to be determined from the data matrix , the raw data ...
Page 269
... effective rank of the data matrix . In other words , how many dimensions of independent information is really contained in the data ? Let's take a look at this notion of rank and view it from the geometric point of view . a ) Sphere to ...
... effective rank of the data matrix . In other words , how many dimensions of independent information is really contained in the data ? Let's take a look at this notion of rank and view it from the geometric point of view . a ) Sphere to ...
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