AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 123
... dynamic model for fiber size distribution resulting from refining and showed that unknown model parameters can be recursively estimated . Karlstrom and Koebe ( 1993 ) modeled two serially linked refiners with a linear parametric ...
... dynamic model for fiber size distribution resulting from refining and showed that unknown model parameters can be recursively estimated . Karlstrom and Koebe ( 1993 ) modeled two serially linked refiners with a linear parametric ...
Page 323
... Dynamic processing freedom of batch units is considered in design and scheduling to improve profitability under strict constraints . The long term planning and scheduling formulation of Birewar and Grossmann ( 1989b ) is extended to ...
... Dynamic processing freedom of batch units is considered in design and scheduling to improve profitability under strict constraints . The long term planning and scheduling formulation of Birewar and Grossmann ( 1989b ) is extended to ...
Page 325
... Dynamic control profiles improve all cases beyond operating at the best constant level . tween successive stages for ... Dynamic 6 Constant Problem P2 ZW const . = 33,669 dyn . = 33,239 Dynamic V1 ( 1. ) 03- 02 Control u ( t ) Ꮖ Ᏼ 83.3 ...
... Dynamic control profiles improve all cases beyond operating at the best constant level . tween successive stages for ... Dynamic 6 Constant Problem P2 ZW const . = 33,669 dyn . = 33,239 Dynamic V1 ( 1. ) 03- 02 Control u ( t ) Ꮖ Ᏼ 83.3 ...
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