AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 41
... tion to more complex distributed parameter systems involving multiple components and concurrent reac- tion / separation ? In addition , there is also the possibility of formal math- ematical reduction of nonlinear models using balanced ...
... tion to more complex distributed parameter systems involving multiple components and concurrent reac- tion / separation ? In addition , there is also the possibility of formal math- ematical reduction of nonlinear models using balanced ...
Page 51
... tion with a nonlinear optimizer . This control structure is shown in Fig 2 . Process Model Development A systematic procedure for nonlinear empirical model de- velopment involves the following steps ( cf. Pearson and Ogunnaike , 1996 ) ...
... tion with a nonlinear optimizer . This control structure is shown in Fig 2 . Process Model Development A systematic procedure for nonlinear empirical model de- velopment involves the following steps ( cf. Pearson and Ogunnaike , 1996 ) ...
Page 291
... tion performance decreases when we use R and QB in addi- tion to all tray temperatures . The results using all tray tem- peratures , R , and QB with three factors were EPV = 99.119 and PRESS = 0.263 × 10-4 with unit variance scaling ...
... tion performance decreases when we use R and QB in addi- tion to all tray temperatures . The results using all tray tem- peratures , R , and QB with three factors were EPV = 99.119 and PRESS = 0.263 × 10-4 with unit variance scaling ...
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