AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 95
... analysis of the output error model fit . a ) Model residuals . b ) Estimated auto - correlation function of residuals . From the results of these analyses , it can be concluded that the output error trend characteristics are poor as a ...
... analysis of the output error model fit . a ) Model residuals . b ) Estimated auto - correlation function of residuals . From the results of these analyses , it can be concluded that the output error trend characteristics are poor as a ...
Page 267
... ANALYSIS METHODS Tsewei Wang , Srinivas Vedula , and Atul Khettry ' Department of Chemical Engineering The University of Tennessee Knoxville , TN 37996-2200 A geometric interpretation of the singular value decomposition ( SVD ) of a ...
... ANALYSIS METHODS Tsewei Wang , Srinivas Vedula , and Atul Khettry ' Department of Chemical Engineering The University of Tennessee Knoxville , TN 37996-2200 A geometric interpretation of the singular value decomposition ( SVD ) of a ...
Page 275
... ANALYSIS Apostolos Rigopoulos and Yaman Arkun School of Chemical Engineering Georgia Institute of Technology Atlanta , GA 30332-0100 Ferhan Kayihan and Eric Hanczyc Weyerhaeuser Technology Center Tacoma , WA 98477 The significant ...
... ANALYSIS Apostolos Rigopoulos and Yaman Arkun School of Chemical Engineering Georgia Institute of Technology Atlanta , GA 30332-0100 Ferhan Kayihan and Eric Hanczyc Weyerhaeuser Technology Center Tacoma , WA 98477 The significant ...
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