AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 237
... constraints . When a predicted future input came sufficiently close to an absolute constraint , an extra equation was added to the process model that would drive the input back into the feasible region . These were referred to as time ...
... constraints . When a predicted future input came sufficiently close to an absolute constraint , an extra equation was added to the process model that would drive the input back into the feasible region . These were referred to as time ...
Page 247
... constraints , ( OH ) Output Hard maximum and minimum constraints 6 Dynamic Optimization Objective : ( Q ) Quadratic , ( I ) Inputs , ( O ) Outputs , ( M ) Input Moves , ( S ) Sub - optimal solution 7 Dynamic Optimization Constraints ...
... constraints , ( OH ) Output Hard maximum and minimum constraints 6 Dynamic Optimization Objective : ( Q ) Quadratic , ( I ) Inputs , ( O ) Outputs , ( M ) Input Moves , ( S ) Sub - optimal solution 7 Dynamic Optimization Constraints ...
Page 337
... constraints constant over the con- trol horizon . It is important to note that the first set of con- straints , Umin ( kk ) and Umax ( k | k ) , map exactly to the actual input constraints since they are calculated using the current ...
... constraints constant over the con- trol horizon . It is important to note that the first set of con- straints , Umin ( kk ) and Umax ( k | k ) , map exactly to the actual input constraints since they are calculated using the current ...
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