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

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Page 206

MPC with Contraction Constraint Apart from using infinite

finite

vector contracts by a prespecified factor before a new optimization begins . This

idea ...

MPC with Contraction Constraint Apart from using infinite

**horizon**cost function ,finite

**horizon**MPC can be made stable by imposing a constraint that the statevector contracts by a prespecified factor before a new optimization begins . This

idea ...

Page 222

Hence , FHP P ( x ' , t ' ) is not necessarily solvable . As in classical MPC , the

controller may generate states at which a solution to the finite

problem cannot be found . However ( Polak , private communication ) , there

exists an a ...

Hence , FHP P ( x ' , t ' ) is not necessarily solvable . As in classical MPC , the

controller may generate states at which a solution to the finite

**horizon**controlproblem cannot be found . However ( Polak , private communication ) , there

exists an a ...

Page 249

للللللللللللا SP للللللللللللا SP Finite

future prediction

funnel Figure 8 . MPC based on a funnel allows a CV to move back to the

setpoint ...

للللللللللللا SP للللللللللللا SP Finite

**Horizon**B . Funnet . - , - , - 1 . . pastfuture prediction

**horizon**P q ( a ) MPC based on a trajectory ( ) MPC based on afunnel Figure 8 . MPC based on a funnel allows a CV to move back to the

setpoint ...

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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