AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
From inside the book
Results 1-3 of 85
Page 36
... solution of the nonlinear partial differential equa- tion / inequality ( 69 ) . A global analytical solution is of course not feasible except for simple problems . However a nu- merical solution is sometimes possible . One noteworthy ...
... solution of the nonlinear partial differential equa- tion / inequality ( 69 ) . A global analytical solution is of course not feasible except for simple problems . However a nu- merical solution is sometimes possible . One noteworthy ...
Page 222
... solution to FHP is , in general , problematic . Even if an ini- tial global solution to FHP is available , it cannot necessar- ily be tracked as the state x varies . Suppose an MPC con- troller generates a sequence of states { xi : = x ...
... solution to FHP is , in general , problematic . Even if an ini- tial global solution to FHP is available , it cannot necessar- ily be tracked as the state x varies . Suppose an MPC con- troller generates a sequence of states { xi : = x ...
Page 334
... solution feature fairly large transient violations . However , constraint violations occur for only 4 samples and closed - loop behavior is very close to the open - loop predic- tions . With the ∞ - norm soft constrained solution , the ...
... solution feature fairly large transient violations . However , constraint violations occur for only 4 samples and closed - loop behavior is very close to the open - loop predic- tions . With the ∞ - norm soft constrained solution , 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