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

### From inside the book

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Page 154

When we apply the sequential quadratic programming algorithm to a constrained

version of ( 2 ) , we

0 is best , because the subproblem is

When we apply the sequential quadratic programming algorithm to a constrained

version of ( 2 ) , we

**obtain**a search direction ... A starting guess of Uj = 0 and X ; =0 is best , because the subproblem is

**obtained**by approximating the nonlinear ...Page 273

A challenge in the implementation of PARAFAC and Multivariate Curve

Resolution is the automation of the incorporation of reasonable constraints . we

wish to

both ...

A challenge in the implementation of PARAFAC and Multivariate Curve

Resolution is the automation of the incorporation of reasonable constraints . we

wish to

**obtain**physically meaningful C and A . MCR makes use of the fact thatboth ...

Page 316

The required jacket temperature is

exp ( 0 * ( 0 ) ) then the heat released by the reaction is so great at the initial

batch temperature that cooling must be initiated immediately . This is a

particularly ...

The required jacket temperature is

**obtained**by solving ( from Eqn . ( 2 ) ) If a < ßexp ( 0 * ( 0 ) ) then the heat released by the reaction is so great at the initial

batch temperature that cooling must be initiated immediately . This is a

particularly ...

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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