AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 280
... networks , and radial basis function networks ( RBFN ) , are compared in an experimental application for a laboratory scale pH neutralization process at UCSB . The neural modeling techniques are evaluated on the basis of model accuracy ...
... networks , and radial basis function networks ( RBFN ) , are compared in an experimental application for a laboratory scale pH neutralization process at UCSB . The neural modeling techniques are evaluated on the basis of model accuracy ...
Page 281
... Networks Radial basis function networks ( RBFN ) , like B - spline networks , are linear combinations of weighted basis functions . In this case however , the basis functions are radially symmetric maps from the space containing the network ...
... Networks Radial basis function networks ( RBFN ) , like B - spline networks , are linear combinations of weighted basis functions . In this case however , the basis functions are radially symmetric maps from the space containing the network ...
Page 283
... network was able to adequately approximate the experimental data for one - step - ahead predictions . For multiple step ahead predictions , only the B - spline network performed very well . The key drawback of B - spline networks is ...
... network was able to adequately approximate the experimental data for one - step - ahead predictions . For multiple step ahead predictions , only the B - spline network performed very well . The key drawback of B - spline networks is ...
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