AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 31
... represent analytically the gen- eralized nonlinear inverse through a simple block - diagram construction as shown in Fig . 4. A rigorous derivation of such a construction is given in ( Doyle III , 1995 ) . The utility У Anl P † น One ...
... represent analytically the gen- eralized nonlinear inverse through a simple block - diagram construction as shown in Fig . 4. A rigorous derivation of such a construction is given in ( Doyle III , 1995 ) . The utility У Anl P † น One ...
Page 269
... represented by the two columns in the 3- dimensional space appear very close to each other , then all linear ... represent the process variables , that are correlated and contain noise . In reality , this mxn data matrix contains ...
... represented by the two columns in the 3- dimensional space appear very close to each other , then all linear ... represent the process variables , that are correlated and contain noise . In reality , this mxn data matrix contains ...
Page 324
... represent state and control profiles , are normalized time and element size represent stage dynamics and constraints represent end point constraints f , g , h ge , he Р tij are continuous parameters , is processing time for i in j ...
... represent state and control profiles , are normalized time and element size represent stage dynamics and constraints represent end point constraints f , g , h ge , he Р tij are continuous parameters , is processing time for i in j ...
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