## American Institute of Chemical Engineers Symposium SeriesAmerican Institute of Chemical Engineers, 1997 - Chemical engineering |

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Page 30

This is for

common to use for

Francis and Tannenbaum, 1992). In this section we review this approach, in an ...

This is for

**example**true for the notion of unstructured model uncertainty as it iscommon to use for

**example**in the linear Hoo- or /i-approaches to control (Doyle,Francis and Tannenbaum, 1992). In this section we review this approach, in an ...

Page 36

In the linear setup, assumptions (67) can always be satisfied, for

various 'loop-shifting' transformations (Safonov, Limebeer and Chiang, 1989). For

In the linear setup, assumptions (67) can always be satisfied, for

**example**, byvarious 'loop-shifting' transformations (Safonov, Limebeer and Chiang, 1989). For

**example**, assumption k22 = 0 can be assured simply by applying the change of ...Page 111

For

solution corresponding to the global minimum of Gibbs free energy of the overall

system is thermodynamically stable (Baker et al., 1982). Although this approach ...

For

**example**, for a system restrained to a given temperature and pressure, thesolution corresponding to the global minimum of Gibbs free energy of the overall

system is thermodynamically stable (Baker et al., 1982). Although this approach ...

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### Contents

Control Technology Challenges for the Future | 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 filter finite Grafcet horizon hybrid systems identification IEEE implementation input linear control loop manufacturing matrix measurement methods model predictive control monitoring Morari multivariable neural networks nonlinear control nonlinear model nonlinear systems on-line operating optimal control output error paper machine parameter performance Petri nets PID controllers plant Proc process control process model programming Pulp and Paper quadratic quadratic program Rawlings reactor response robust control scheduling sensors sequence set point significant simulation solution solved specifications stability step structure synthesis TAPPI Press techniques temperature theory tion trajectory transfer function trend trol uncertainty valve variables vector wafer