AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 212
... Estimation The success of MPC motivates us to seek a similar optimization - based technique for state estimation . Several researchers explored this possibility in various contexts . So - called " moving horizon state estimation ...
... Estimation The success of MPC motivates us to seek a similar optimization - based technique for state estimation . Several researchers explored this possibility in various contexts . So - called " moving horizon state estimation ...
Page 213
... estimation is particularly appeal- ing in the context of nonlinear estimation , for which there does not exist a well - established technique like the Kalman filter . Robertson et al . show that the moving horizon es- timator is ...
... estimation is particularly appeal- ing in the context of nonlinear estimation , for which there does not exist a well - established technique like the Kalman filter . Robertson et al . show that the moving horizon es- timator is ...
Page 291
... Estimation without variable transformation is best from the view points of prediction ac- curacy and robustness for our binary column . Use of Measured Inputs - The relationship between the auxiliary measured inputs ( e.g . R and QB ) ...
... Estimation without variable transformation is best from the view points of prediction ac- curacy and robustness for our binary column . Use of Measured Inputs - The relationship between the auxiliary measured inputs ( e.g . R and QB ) ...
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