AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 239
... 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 moves , and ...
... 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 moves , and ...
Page 281
... functions . Each multivariate basis function is generated based on univariate polynomial spline functions : the outputs of all the univariate splines generated for each scalar element of the network input vector , each of which is ...
... functions . Each multivariate basis function is generated based on univariate polynomial spline functions : the outputs of all the univariate splines generated for each scalar element of the network input vector , each of which is ...
Page 349
... function of the complementary sensitivity transfer function matrix choose the lower bound value of £ and the upper bound values of the other filter time constants as initial guess of vector of filter time constants . Step 4. Tuning 1 ...
... function of the complementary sensitivity transfer function matrix choose the lower bound value of £ and the upper bound values of the other filter time constants as initial guess of vector of filter time constants . Step 4. Tuning 1 ...
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