Welcome

mshoot is a Python package for Model Predictive Control (MPC).

The package is based on the multiple shooting method, which is a simulation-based dynamic optimization method. In multiple shooting the optimization period is divided into N subperiods, each one simulated separately. The optimization is solved using nonlinear programing (NLP). The optimization problem consists of a cost function, which is calculated separately for each subperiod and then summed, and state continuity constraints ($x_{N-1}^R = x_{N}^L$).

Contents:

• Installation
  • Advised procedure
• API documentation
  • How to set up MPCEmulation
  • How to set up MShoot
  • Docstrings
    • MPCEmulation
    • MShoot
    • Simulation interfaces
• License

Indices and tables

• Index
• Module Index
• Search Page