AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 19
... sequence { s ( t ) } is called a normalization sequence . An algorithm which uses such a sequence explicitly is called a normalized algorithm . The results in Ioannou and Sun ( 1996 ) mostly rely on normalization . The algorithm in ...
... sequence { s ( t ) } is called a normalization sequence . An algorithm which uses such a sequence explicitly is called a normalized algorithm . The results in Ioannou and Sun ( 1996 ) mostly rely on normalization . The algorithm in ...
Page 51
... sequence design ; data col- lection and preconditioning ; model parameter estima- tion ) ; 3. Model validation . Figure 3. Identification input sequence for Valve A loading . - - In this specific application , the selected model ...
... sequence design ; data col- lection and preconditioning ; model parameter estima- tion ) ; 3. Model validation . Figure 3. Identification input sequence for Valve A loading . - - In this specific application , the selected model ...
Page 143
... sequence , a second technique anticipated the " corner " in the set point trajectory by inserting an open loop model predictive control . sequence into the upper zone lamp power profile . During this sequence , the upper zone power was ...
... sequence , a second technique anticipated the " corner " in the set point trajectory by inserting an open loop model predictive control . sequence into the upper zone lamp power profile . During this sequence , the upper zone power was ...
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