### Abstract

Language | English |
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Title of host publication | Unknown Host Publication |

Pages | 3458-3463 |

Number of pages | 6 |

Publication status | Published - Sep 2001 |

Event | European Control Conference (ECC 01) - Porto, Portugal Duration: 1 Sep 2001 → … |

### Conference

Conference | European Control Conference (ECC 01) |
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Period | 1/09/01 → … |

### Fingerprint

### Cite this

*Unknown Host Publication*(pp. 3458-3463)

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*Unknown Host Publication.*pp. 3458-3463, European Control Conference (ECC 01), 1/09/01.

**A Complete Formulation of Non-Linear Model-Based Stable Predictive Control Strategy.** / Prasad, G; Irwin, GW; Swidenbank, E; Hogg, BW.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Complete Formulation of Non-Linear Model-Based Stable Predictive Control Strategy

AU - Prasad, G

AU - Irwin, GW

AU - Swidenbank, E

AU - Hogg, BW

PY - 2001/9

Y1 - 2001/9

N2 - This paper reports a complete formulation of a model predictive control strategy having guaranteed nominal asymptotic stability. The formulation includes a successive linearisation procedure to obtain a linear model from a non-linear plant model. It gives a complete state-space derivation including long-range prediction, trajectory tracking and modelling of both measured feedforward disturbances and unmeasured stochastic disturbances. Using the dual mode controller concept, the formulation applies a terminal constraint at the end of finite horizon prediction so that outputs reach their steady values asymptotically. The control strategy has been applied in a simulation of a thermal power plant, which is a complex multivariable system based on a non-linear physical model. Although the theoretical results are not entirely new, a complete stable MPC formulation along with its application in a realistic large-scale system is not readily available in MPC literature. A set of simulation results demonstrates the effectiveness of the formulated strategy and compares its performance with finite horizon MPC.

AB - This paper reports a complete formulation of a model predictive control strategy having guaranteed nominal asymptotic stability. The formulation includes a successive linearisation procedure to obtain a linear model from a non-linear plant model. It gives a complete state-space derivation including long-range prediction, trajectory tracking and modelling of both measured feedforward disturbances and unmeasured stochastic disturbances. Using the dual mode controller concept, the formulation applies a terminal constraint at the end of finite horizon prediction so that outputs reach their steady values asymptotically. The control strategy has been applied in a simulation of a thermal power plant, which is a complex multivariable system based on a non-linear physical model. Although the theoretical results are not entirely new, a complete stable MPC formulation along with its application in a realistic large-scale system is not readily available in MPC literature. A set of simulation results demonstrates the effectiveness of the formulated strategy and compares its performance with finite horizon MPC.

M3 - Conference contribution

SP - 3458

EP - 3463

BT - Unknown Host Publication

ER -