Jan Rohleff

Model Predictive Control of Gas Networks Based on Port‐Hamiltonian Formulations

To efficiently compute optimal compressor actions in gas networks, we investigate port‐Hamiltonian models consisting of linear and a nonlinear model assumptions. The control actions are derived via adjoint‐based gradients that incorporate the constraints of the underlying optimization problem. We then present results...