AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 172
... specifications . There are two general classes of specifications for logical systems : safety specifications and liveness specifications . In this context , safety refers to specifications defined in terms of the reachable states or ...
... specifications . There are two general classes of specifications for logical systems : safety specifications and liveness specifications . In this context , safety refers to specifications defined in terms of the reachable states or ...
Page 345
... specifications , and are robust in the face of modeling uncertainty . The first stage consists of designing a predictive controller for the nominal unconstrained . system using any of the currently available and well established methods ...
... specifications , and are robust in the face of modeling uncertainty . The first stage consists of designing a predictive controller for the nominal unconstrained . system using any of the currently available and well established methods ...
Page 348
... specifications are feasible . If they are not , then the engineer may either adjust his specifications , or try to find a new model which allows the specifications to be achieved . To determine whether a set of specifications are ...
... specifications are feasible . If they are not , then the engineer may either adjust his specifications , or try to find a new model which allows the specifications to be achieved . To determine whether a set of specifications are ...
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