Numerical optimization is key in the operation of complex systems. For different reasons such as resilience, data privacy and performance one may be interested in distributing numerical optimization over different nodes. In the realm of Model Predictive Control (MPC) this distributed optimization arises in the context of distributed MPC (DMPC).
We conduct research on distributed non-convex optimization and on distributed MPC for linear and nonlinear systems.