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

### From inside the book

Results 1-3 of 87

Page 89

The latter issue is extremely important because in practice , low order transfer

performance despite the presence of modeling error . Given these limitations , we

have ...

The latter issue is extremely important because in practice , low order transfer

**function**model approximations of the true process often yield acceptableperformance despite the presence of modeling error . Given these limitations , we

have ...

Page 281

Radial basis

exponentially to zero as the radius ... Each multivariate basis

generated based on univariate polynomial spline

...

Radial basis

**functions**can be made to appear localized because they decreaseexponentially to zero as the radius ... Each multivariate basis

**function**isgenerated based on univariate polynomial spline

**functions**: the outputs of all the...

Page 349

We tuned the control system such that the maximum peak of magnitudes of

frequency responses of both T , and T22 transfer

sensitivity

are £ ...

We tuned the control system such that the maximum peak of magnitudes of

frequency responses of both T , and T22 transfer

**functions**of the complementarysensitivity

**function**T is Mpu = Mp22 = 1 . 05 . The resulting filter time constantsare £ ...

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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