Conditional Scenario-Based MPC

Conditional scenario-based model predictive control (CSB-MPC)

Scenario-based MPC for discrete-time linear systems affected by parametric uncertainties and/or additive disturbances, which are correlated and with bounded support.

The files contain a scenario-based model predictive control (CSB-MPC) simulator for multivariable linear systems with parametric and/or additive uncertainties. This uncertainties have a multinormal probability distribution with bounded support. In addition, there are files with an example based on a quadruple tank system.

For more details about this stochastic model predictive control algorithm please consult the article associated with this toolbox:

https://doi.org/10.1016/j.jfranklin.2023.05.012

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Please, before starting to use it, read the file "readme.txt"

SOFTWARE REQUIREMENTS

It is necessary to have previously installed the complementary software for matlab:

- YALMIP: https://yalmip.github.io/

- Multi-Parametric Toolbox (MPT): https://www.mpt3.org/Main/HomePage

- Mosek: https://www.mosek.com/

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Author: Edwin Alonso González Querubín

https://www.researchgate.net/profile/Edwin_Gonzalez_Querubin

https://es.mathworks.com/matlabcentral/profile/authors/15149689

Research Group: Predictive Control and Heuristic Optimization (CPOH)

http://cpoh.upv.es

Unversity: Universidad Politécnica de Valencia

http://www.upv.es

Soon, a paper with details on this MPC strategy will be available.