AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 38
... discussed . For ex- ample , we did not discuss nonlinear model predictive con- trol or adaptive control even though we think that both ap- proaches have clear and distinct advantages over other con- trol schemes as they also have ...
... discussed . For ex- ample , we did not discuss nonlinear model predictive con- trol or adaptive control even though we think that both ap- proaches have clear and distinct advantages over other con- trol schemes as they also have ...
Page 90
... discussed above have so far been useful in some of our work related to controller performance monitoring and diagnosis . Our experiences have indicated that no single statistic , or statistical analysis , by itself is sufficient for ...
... discussed above have so far been useful in some of our work related to controller performance monitoring and diagnosis . Our experiences have indicated that no single statistic , or statistical analysis , by itself is sufficient for ...
Page 345
... discussed in the previous section . In the second stage the design is optimized in order to satisfy the performance specifications ( such as operational constraints , disturbance rejection , etc. ) , and to achieve a desirable level of ...
... discussed in the previous section . In the second stage the design is optimized in order to satisfy the performance specifications ( such as operational constraints , disturbance rejection , etc. ) , and to achieve a desirable level of ...
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