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

### From inside the book

Results 1-3 of 65

Page 12

The model

equations ( 1 ) , ( 3 ) and ( 8 ) y ( t ) = A ( q ) ... on the right hand side in equations (

8 ) and ( 9 ) is a consequences of the equation

The model

**error**corresponding to the centered model is obtained by combiningequations ( 1 ) , ( 3 ) and ( 8 ) y ( t ) = A ( q ) ... on the right hand side in equations (

8 ) and ( 9 ) is a consequences of the equation

**error**formulation in equation ( 3 ) .Page 92

The auto - correlation results lead one to conclude that the output

trend characteristics are better than desired . correlation function was somewhat

misleading by itself . doadtime - 0 , ref . timo constant - 100 , T - 1 est .

The auto - correlation results lead one to conclude that the output

**error**responsetrend characteristics are better than desired . correlation function was somewhat

misleading by itself . doadtime - 0 , ref . timo constant - 100 , T - 1 est .

**error**auto ...Page 94

9 shows the estimated cross - correlation functions between the output

the prewhitened disturbance trends . Both disturbances are shown to be

statistically significant . Both disturbances appear to have some cyclical

associations ...

9 shows the estimated cross - correlation functions between the output

**error**andthe prewhitened disturbance trends . Both disturbances are shown to be

statistically significant . Both disturbances appear to have some cyclical

associations ...

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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