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Digital Library

of the European Council for Modelling and Simulation

 

Title:

MATLAB Toolbox For Self-Tuning Predictive Control Of Time-Delayed Systems

Authors:

Radek Holis, Vladimir Bobal

Published in:

 

 

 

(2018). ECMS 2018 Proceedings Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen European Council for Modeling and Simulation. doi: 10.7148/2018-0005

 

ISSN: 2522-2422 (ONLINE)

ISSN: 2522-2414 (PRINT)

ISSN: 2522-2430 (CD-ROM)

 

32nd European Conference on Modelling and Simulation,

Wilhelmshaven, Germany, May 22nd – May 265h, 2018

 

 

Citation format:

Radek Holis, Vladimir Bobal (2018). MATLAB Toolbox For Self-Tuning Predictive Control Of Time-Delayed Systems, ECMS 2018 Proceedings Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen European Council for Modeling and Simulation. doi: 10.7148/2018-0205

DOI:

https://doi.org/10.7148/2018-0205

Abstract:

The designed MATLAB/SIMULINK Toolbox is dedicated to develop and design predictive Self-Tuning Control (STC) algorithm for the time-delayed systems. In practice, many processes can exhibit time-delay in their dynamic behavior, which is mainly caused by a time needed for transport of the energy, information, or mass. In lights of these facts, it is necessary to develop suitable algorithm and verify its correct dynamic behavior using simulation first, so this Toolbox can be used in advantage. This paper deals with the basic principles of Model Predictive Control (MPC), calculation of control law, design process of the predictive controller and recursive identification of control process using Recursive Least Squares Method (RLSM). There are also many cases when compensation of measurable disturbance is required, so this Toolbox allows compensating of this disturbance.

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