AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 215
... filter esti- mates generated from the same starting condition and Kk + 1 is the Kalman filter gain . Note that the above system equa- tion is equivalent to ( 3 ) in an input - output sense . Now that the identification problem is well ...
... filter esti- mates generated from the same starting condition and Kk + 1 is the Kalman filter gain . Note that the above system equa- tion is equivalent to ( 3 ) in an input - output sense . Now that the identification problem is well ...
Page 348
... filter time constants such that for all i , then ( w , ε , ) E , X ) | < MP ii ∞ii max @ , x we can find at least one vector of filter time constants which satisfies ( 1 ) . ( Note the parameters x in the foregoing are only the ...
... filter time constants such that for all i , then ( w , ε , ) E , X ) | < MP ii ∞ii max @ , x we can find at least one vector of filter time constants which satisfies ( 1 ) . ( Note the parameters x in the foregoing are only the ...
Page 349
... filter time constants as initial guess of vector of filter time constants . Step 4. Tuning 1. Perform a SISO IMC tuning procedure for the i - th diagonal transfer function to satisfy its specified Mp by adjusting & This step yields new ...
... filter time constants as initial guess of vector of filter time constants . Step 4. Tuning 1. Perform a SISO IMC tuning procedure for the i - th diagonal transfer function to satisfy its specified Mp by adjusting & This step yields new ...
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