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

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Page 168

It consists of ODE - subsystems of the Tavernini - type with an additional “ event

input ” which can reinitialize the state

conditionlevent systems ( Sreenivas and Krogh , 1991a ) . A cle - system can be ...

It consists of ODE - subsystems of the Tavernini - type with an additional “ event

input ” which can reinitialize the state

**vector**. The logical part is described byconditionlevent systems ( Sreenivas and Krogh , 1991a ) . A cle - system can be ...

Page 203

However , in some parts of the paper , they may be assumed to be time varing

and / or parametrized through a

However , in some parts of the paper , they may be assumed to be time varing

and / or parametrized through a

**vector**belonging to a compact set or a stochastic**vector**with known probability density evolution . Whenever the constant , fixed ...Page 242

Xk + 1 = f ( xk , Uk , Vk , Wk ) | Vk = g ( xk ) + k ( 8 ) where Uk E RMu is a

my MV ' s , Yk E RMy is a

variables , Vk ERMv is a

mw ...

Xk + 1 = f ( xk , Uk , Vk , Wk ) | Vk = g ( xk ) + k ( 8 ) where Uk E RMu is a

**vector**ofmy MV ' s , Yk E RMy is a

**vector**of my CV ' s , XK E R " is a**vector**of n statevariables , Vk ERMv is a

**vector**of my measured DV ' s , wk E Row is a**vector**ofmw ...

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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