We propose an effective STL synthesis framework - Model Predictive Control for Signal Temporal Logic with Time Interval Decomposition. Here is the paper link. This project is collaborated with Chuwei Wang (main contributor).
This project consists of two parts, online part and offline part, which are conducted by Python 3 and Julia respectively.
- We compared computational efficiency by two ways, with Time Interval Decomposition (TID) and without TID. Both codes can be found in folders
online codes - with TIDandonline codes - without TIDrespectively. - For the offline part, you can check the final terminal set by figure
offline codes/terminalSetFigure.pngand see some of "intermediate product" by animationoffline codes/animation.gif. Note that the offline results shown in the figure and animation is the projection to 2 dimensions and you can also plot them in other dimensions by your own.
In the online part, we use the following packages
matplotlib v3.6.1
numpy v1.23.4
Gurobi v9.5.2
In the offline part, we use the following packages
GR v0.69.5
IntervalArithmetic v0.20.7
LaTeXStrings v1.3.0
LazySets v2.3.0
Plots v1.36.0
Polyhedra v0.7.5
We would like to thank our colleague Xiaoduo for discussion and his great help in this work.