AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 26
... objective is sought . ) If considerable nonlinear- ity is detected then certainly nonlinear analysis tools will be ... objective ? For instance , it is well known that the optimal controller to a quadratic objective function for a linear ...
... objective is sought . ) If considerable nonlinear- ity is detected then certainly nonlinear analysis tools will be ... objective ? For instance , it is well known that the optimal controller to a quadratic objective function for a linear ...
Page 239
... objective function . Including all the required trade - offs in a single ob- jective function means that relative weights have to be as- signed to the value of output setpoint violations , output soft constraint violations , inputs ...
... objective function . Including all the required trade - offs in a single ob- jective function means that relative weights have to be as- signed to the value of output setpoint violations , output soft constraint violations , inputs ...
Page 343
... objective that minimizes the worst - case amplification of the disturbance inputs . Robust stability is guaranteed by satisfying classical frequency - domain conditions through an H problem . The achievable limits of performance in the ...
... objective that minimizes the worst - case amplification of the disturbance inputs . Robust stability is guaranteed by satisfying classical frequency - domain conditions through an H problem . The achievable limits of performance in 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