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

### From inside the book

Results 1-3 of 58

Page 204

American Institute of Chemical Engineers. optimization is

Uk i = 1 min XI tilka tilk + užtik Rux + ilk ( 7 ) i = 0 Xk + ilk e X , i = 1 , . . . , P ( 8 )

Uktilk EV , i = 0 , . . . , m - 1 ( 9 ) 2 . A finite dimensional parameterization of the

input ...

American Institute of Chemical Engineers. optimization is

**solved**at time k : m - 1Uk i = 1 min XI tilka tilk + užtik Rux + ilk ( 7 ) i = 0 Xk + ilk e X , i = 1 , . . . , P ( 8 )

Uktilk EV , i = 0 , . . . , m - 1 ( 9 ) 2 . A finite dimensional parameterization of the

input ...

Page 209

Step 1 : Calculation of steady - state target Find Yk + m + N - 11k = Cxm + m + N -

114 by

of designing a Model Predictive Controller for the following system : T min AUXk ...

Step 1 : Calculation of steady - state target Find Yk + m + N - 11k = Cxm + m + N -

114 by

**solving**Robust / Adaptive MPC In this section , we examine the problemof designing a Model Predictive Controller for the following system : T min AUXk ...

Page 222

The FHP P ( x , t ) can be

state of the system is steered to this set , contractive MPC may be safely

employed . Since the initial state should be steered to Y in finite time , a strategy

such as ...

The FHP P ( x , t ) can be

**solved**for any point in this set . Hence , once the initialstate of the system is steered to this set , contractive MPC may be safely

employed . Since the initial state should be steered to Y in finite time , a strategy

such as ...

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### 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