AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 12
... parameter estimates vary as indicated by the subscript t . When the parameters are fixed we say that the system is frozen . The frozen system is bounded input bounded out- put stable since step 3 of the algorithm gives a characteristic ...
... parameter estimates vary as indicated by the subscript t . When the parameters are fixed we say that the system is frozen . The frozen system is bounded input bounded out- put stable since step 3 of the algorithm gives a characteristic ...
Page 14
... parameter estimates drift . The estimate of the parameter รข is shown on top and the parameter b on the bottom . Both parameters are constrained . The parameter b reaches the constraint around t = = 80 . and y * = 0 , amin = bmin ...
... parameter estimates drift . The estimate of the parameter รข is shown on top and the parameter b on the bottom . Both parameters are constrained . The parameter b reaches the constraint around t = = 80 . and y * = 0 , amin = bmin ...
Page 159
... parameters updated , and the parameter estimation method , and these decisions should be made in a coordinated manner . By far , most of the parameters in the detailed RTO models will not be updated . Some criteria for selecting the ...
... parameters updated , and the parameter estimation method , and these decisions should be made in a coordinated manner . By far , most of the parameters in the detailed RTO models will not be updated . Some criteria for selecting 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