## AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |

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Page 106

DAEs requires consistent

transformations ( Pantelides , 1988 ) . Consistent

by the original system ( Eqn . ( 2 ) ) , first and high order differentials with respect

to ...

DAEs requires consistent

**initial**conditions in order to start continuous statetransformations ( Pantelides , 1988 ) . Consistent

**initial**conditions are determinedby the original system ( Eqn . ( 2 ) ) , first and high order differentials with respect

to ...

Page 111

Given a consistent

the time domain . Here the appropriate thermodynamic function is clearer , at

least for an explicit integration scheme . Two typical systems are one at a known

...

Given a consistent

**initial**condition , it is then necessary to advance the system inthe time domain . Here the appropriate thermodynamic function is clearer , at

least for an explicit integration scheme . Two typical systems are one at a known

...

Page 222

Hence , once the

may be safely employed . Since the

time , a strategy such as variable horizon MPC , discussed next , could be ...

Hence , once the

**initial**state of the system is steered to this set , contractive MPCmay be safely employed . Since the

**initial**state should be steered to Y in finitetime , a strategy such as variable horizon MPC , discussed next , could be ...

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### Contents

Industry Assessment | 1 |

Predictive Control | 5 |

Adaptive and Nonlinear Control Fact or Fantasy? | 9 |

Copyright | |

23 other sections not shown

### Common terms and phrases

achieve adaptive control addition algorithm analysis applications approach associated batch behavior bounded changes chemical closed complex Conference consider constant constraints continuous control system defined described determine developed direction discrete discussed disturbance dynamic effective engineering equations error estimation example exist factor Figure function future given horizon hybrid systems identification IEEE implementation important improved increase industrial initial input issues limited linear loop machine manufacturing matrix measurement methods monitoring networks nonlinear nonlinear control objective obtained on-line operating optimization output parameter performance plant possible practice present problem process control programming properties Pulp reactor represent respect response robust scheduling set point setpoint shown shows significant simulation solution solved specifications stability step structure techniques temperature theory tion transition trend uncertainty variables vector wafer