This repository was intended to provide examples of using specialized data
structures for nonlinear model predictive control simulations with Pyomo
models. While the examples here may still be useful, the functionality
contained in the nmpc_examples/nmpc subdirectory has been superceded by the
MPC Pyomo extension, with code
here
and documentation
here.
For a more complicated example using the pyomo.contrib.mpc software, please
see this code,
which produces the chemical looping case study results for the paper referenced
below.
If you find these examples or data structures useful for research, please cite the following paper, which describes the motivation for these data structures and some of the underlying Pyomo features that make this possible.
@article{parker2023mpc,
title = {Model predictive control simulations with block-hierarchical differential-algebraic process models},
journal = {Journal of Process Control},
volume = {132},
pages = {103113},
year = {2023},
issn = {0959-1524},
doi = {https://doi.org/10.1016/j.jprocont.2023.103113},
url = {https://www.sciencedirect.com/science/article/pii/S0959152423002007},
author = {Robert B. Parker and Bethany L. Nicholson and John D. Siirola and Lorenz T. Biegler},
}