AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
From inside the book
Results 1-3 of 87
Page 91
... shows three daily average sliding window statistics . Fig . 2 ( a ) shows the estimated error standard deviation ( STD ) ( o ) , the specified limit for the error STD ( - ) , and the estimated lowest STD possible by minimum variance ...
... shows three daily average sliding window statistics . Fig . 2 ( a ) shows the estimated error standard deviation ( STD ) ( o ) , the specified limit for the error STD ( - ) , and the estimated lowest STD possible by minimum variance ...
Page 92
... shows one week of response data . The measured output and set point are indicated by ( - ) and ( - ) respectively . There is evidence of a time variant output trend with sudden bursts of cycling . output response ( - ) & set point ...
... shows one week of response data . The measured output and set point are indicated by ( - ) and ( - ) respectively . There is evidence of a time variant output trend with sudden bursts of cycling . output response ( - ) & set point ...
Page 94
... shows that disturbance 2 is more strongly associated with the output error given that it has large cross ... shows the measured output error trend . Fig . 10 ( b ) shows the model predicted contribution of the first disturbance to the ...
... shows that disturbance 2 is more strongly associated with the output error given that it has large cross ... shows the measured output error trend . Fig . 10 ( b ) shows the model predicted contribution of the first disturbance to the ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
Common terms and phrases
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