AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 204
... finite moving horizon cost function is used to derive a control law for an infinite time problem . This means not only that the objective used for the optimization is inappropriate for the underlying problem ( because the finite horizon ...
... finite moving horizon cost function is used to derive a control law for an infinite time problem . This means not only that the objective used for the optimization is inappropriate for the underlying problem ( because the finite horizon ...
Page 206
... finite horizon objective : p - 1 T m - 1 T min Σxk + ilk Qxk + ilk + Σ u ketik Ruk + ilk Ик i = 1 ; k + p | k = 0 i = 0 xk + ik X , i = 1 , . , p - 1 Uk + ijk EV , i = 0 , ... , m - 1 ( 18 ) ( 19 ) ( 20 ) ( 21 ) The closed - loop ...
... finite horizon objective : p - 1 T m - 1 T min Σxk + ilk Qxk + ilk + Σ u ketik Ruk + ilk Ик i = 1 ; k + p | k = 0 i = 0 xk + ik X , i = 1 , . , p - 1 Uk + ijk EV , i = 0 , ... , m - 1 ( 18 ) ( 19 ) ( 20 ) ( 21 ) The closed - loop ...
Page 249
... finite control horizon , as shown at the top of Fig . 10. The length of the control horizon M is another basic tuning parameter for these con- trollers . Increased performance is obtained as M increases , at the expense of additional ...
... finite control horizon , as shown at the top of Fig . 10. The length of the control horizon M is another basic tuning parameter for these con- trollers . Increased performance is obtained as M increases , at the expense of additional ...
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