Credit

The developers of do-dpc own credit to CVXPY which run at the core of the DPC package.

The structure of the code is inspired by the software package do_mpc.

Code for the n4sid is based on the software package from spmvg.

If you use do-dpc for published work please cite the corresponding papers:

• CVXPY: A Python-Embedded Modeling Language for Convex Optimization

If TPC was used:

• The Transient Predictor

• On the Impact of Regularization in Data-Driven Predictive Control

If SPC was used:

• SPC: Subspace Predictive Control

If γ-DPC was used:

• Uncertainty-aware Data-Driven Predictive Control in a Stochastic Setting

• Data-Driven Predictive Control in a Stochastic Setting: A Unified Framework

If DeePC was used:

• Data-Enabled Predictive Control: In the Shallows of the DeePC

• Regularized and Distributionally Robust Data-Enabled Predictive Control

If n4sid_mpc was used:

• N4SID: Subspace Algorithms for the Identification of Combined Deterministic-Stochastic Systems