AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 217
... control con- straints and nonlinearity . A major motivation is the presence of hard constraints in most applications ... optimal feedback con- trol law u ( x , t ) for the optimal control problem defined by the system x = f ( x , u ) ...
... control con- straints and nonlinearity . A major motivation is the presence of hard constraints in most applications ... optimal feedback con- trol law u ( x , t ) for the optimal control problem defined by the system x = f ( x , u ) ...
Page 220
... Control of Nonlinear Systems Since MPC requires the repeated online solution of an op- timal control problem , it is ... optimal value are easily computed , permitting cessation of the optimization procedure when a predetermined toler- ance ...
... Control of Nonlinear Systems Since MPC requires the repeated online solution of an op- timal control problem , it is ... optimal value are easily computed , permitting cessation of the optimization procedure when a predetermined toler- ance ...
Page 222
... control invariant sets , it is by no means clear that X has this property ... optimal , or even a feasible , solution to FHP is , in general , problematic ... control hori- zons are infinite ( and certain stabilizability and detectabil ...
... control invariant sets , it is by no means clear that X has this property ... optimal , or even a feasible , solution to FHP is , in general , problematic ... control hori- zons are infinite ( and certain stabilizability and detectabil ...
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