no code implementations • 13 Nov 2022 • Sven Brüggemann, Robert H. Moroto, Robert R. Bitmead
We study a gas network flow regulation control problem showing the closed-loop consequences of using interconnected component models, which have been designed to preserve a variant of mass flow conservation without the inclusion of algebraic constraints into the dynamics.
no code implementations • 13 Nov 2022 • Sven Brüggemann, Robert H. Moroto, Robert R. Bitmead
This work provides linear control-oriented state space models of gas flow through standard equipment, such as valves, compressors, manifolds and non-trivial pipe geometries.
no code implementations • 13 Apr 2022 • Sven Brüggemann, Drew Steeves, Miroslav Krstic
In this work, we combine {Model Predictive Control} (MPC) and Control Barrier Function (CBF) design {methods} to create a hierarchical control law for simultaneous lane-keeping (LK) and obstacle avoidance (OA): at the low level, MPC performs LK via trajectory tracking during nominal operation; and at the high level, different CBF-based safety filters that ensure both LK and OA are designed and compared across some practical scenarios.
no code implementations • 27 Mar 2022 • Sven Brüggemann, Robert H. Moroto, Robert R. Bitmead
These pipe network models based on engineering data are the first part of the development of general facility process control tools.
no code implementations • 3 Apr 2020 • Sven Brüggemann, Robert R. Bitmead
This work deals with the problem of simultaneous regulation and model parameter estimation in adaptive model predictive control.