%0 Computer Program %A Surma, Filip %D 2023 %T Code for the Implementation of State-Dependent dynamic tube model predictive control %U %R 10.4121/82150c4b-eea2-46f4-8a47-fcb6bf3d8e3d.v1 %K Robust optimization %K Fuzzy model %K Model predictive control %X

The code of this repository is used to implement and test a new algorithm called SDD-TMPC. It is a control algorithm that sacrifices a bit of optimality (much less than tube MPC) but returns robust solutions. In this repository, MPC, TMPC, and SDD-TMPC were implemented.


SDD-TMPC needs to have a model of boundaries of future disturbance. I used a fuzzy logic-based model trained with a genetic algorithm.


4 scenarios were created to compare all methods:

1. Following a path in an empty trajectory

2. Moving closely to the wall

3. Moving through a narrow corridor.

4. Avoiding an obstacle


%I 4TU.ResearchData