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Algorithms for implementation the Explicit MPC using the multi-parametric quadratic programming.

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Explicit MPC

Files from my undegraduate thesis Off-line Model Predictive Control applied to Robotic Systems. The work is split in different folders:

/Regulation Problem
Algorithms for implementation the Explicit MPC presented in The explicit linear quadratic regulator for constrained systems and An algorithm for multi-parametric quadratic programming and explicit mpc solutions.

/Non_Zero_Set_Point_Regulation
Project of a setpoint regulator for the quadcopter Iris 3DR. I recommend to use this files as the base of your application, the degeneration problem is full solved in this codes.

/Binary_search_tree
Algorithms to representate the PWA from Explicit MPC using Binary Search Tree as presented in Computation and Approximation of Piecewise Affine Control Laws via Binary Search Trees. There is also C++ libraries for convert from .mat to .txt and to implement the BST. Copy or edit the files binary_tree_generator_region.m and iris_mimo_implementation.m with the data from your system.

A plugin with the BST implemented for the Quadrotor Iris 3DR on Gazebo is available here.

If you want to read the full-text from my thesis, check my Research Gate here. I also published a paper comparing this controller to a conventional MPC.

If you have any doubts, feel free to ask me.

Software Versions:

MATLAB R2016a
Simulink 8.7
ROS Kinetic
Gazebo 7

Dependencies:

plotregion (optional) - Link
YALMIP - Link
SeDuMi - Link
SDTP3 - Link
GLPK - Link

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