Analysis and Correction of Ill-Conditioned Model in Multivariable Model Predictive Control

Intelligent Robotics and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22879-2_56 ◽

2015 ◽

pp. 619-631

Author(s):

Hao Pan ◽

Hai-Bin Yu ◽

Tao Zou ◽

Dewei Du

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Multivariable Model

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Multivariable model predictive control of a solid substrate pilot bioreactor: A simulation study

Global Environmental Biotechnology ◽

10.1007/978-94-017-1711-3_19 ◽

1997 ◽

pp. 221-232 ◽

Cited By ~ 5

Author(s):

Harold Paján ◽

Ricardo Pérez-Correa ◽

Iván Solar ◽

Eduardo Agosin

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Simulation Study ◽

Solid Substrate ◽

Multivariable Model

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A Multivariable Model Predictive Control Project in a Computer Aided Master’s Degree Course

Computer Aided Chemical Engineering - 26th European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-444-63428-3.50150-8 ◽

2016 ◽

pp. 871-876 ◽

Cited By ~ 1

Author(s):

Carla I.C. Pinheiro

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Master's Degree ◽

Multivariable Model ◽

Computer Aided ◽

Master’S Degree

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031 Temperature profile control of a rotary dryer with multivariable model predictive control

Control Engineering Practice ◽

10.1016/0967-0661(94)91658-6 ◽

1994 ◽

Vol 2 (6) ◽

pp. 1066

Keyword(s):

Model Predictive Control ◽

Temperature Profile ◽

Predictive Control ◽

Multivariable Model ◽

Rotary Dryer ◽

Profile Control

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Multivariable model predictive control of a catalytic reverse flow reactor

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2004.04.006 ◽

2004 ◽

Vol 28 (11) ◽

pp. 2259-2270 ◽

Cited By ~ 40

Author(s):

P Dufour ◽

Y Touré

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Flow Reactor ◽

Reverse Flow ◽

Multivariable Model ◽

Reverse Flow Reactor

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Multirate multivariable model predictive control and its application to a polymerization reactor

International Journal of Control ◽

10.1080/00207179408923102 ◽

1994 ◽

Vol 59 (3) ◽

pp. 731-742 ◽

Cited By ~ 25

Author(s):

MASAHIRO OHSHIMA ◽

IORI HASHIMOTO ◽

HIROMU OHNO ◽

MAKOTO TAKEDA ◽

TAKASHI YONEYAMA ◽

...

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Multivariable Model ◽

Polymerization Reactor

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Effect of Control Horizon in Model Predictive Control for Steam/Water Loop in Large-Scale Ships

Processes ◽

10.3390/pr6120265 ◽

2018 ◽

Vol 6 (12) ◽

pp. 265 ◽

Cited By ~ 7

Author(s):

Shiquan Zhao ◽

Anca Maxim ◽

Sheng Liu ◽

Robin De Keyser ◽

Clara Ionescu

Keyword(s):

Computational Complexity ◽

Model Predictive Control ◽

Predictive Control ◽

Large Scale ◽

Multivariable Model ◽

Framework Analysis ◽

Optimization Task ◽

Control Framework ◽

Good Trade ◽

The Cost

This paper presents an extensive analysis of the properties of different control horizon sets in an Extended Prediction Self-Adaptive Control (EPSAC) model predictive control framework. Analysis is performed on the linear multivariable model of the steam/water loop in large-scale watercraft/ships. The results indicate that larger control horizon values lead to better loop performance, at the cost of computational complexity. Hence, it is necessary to find a good trade-off between the performance of the system and allocated or available computational complexity. In this original work, this problem is explicitly treated as an optimization task, leading to the optimal control horizon sets for the steam/water loop example. Based on simulation results, it is concluded that specific tuning of control horizons outperforms the case when only a single valued control horizon is used for all the loops.

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