8 citations · 10 across the 6 of their papers we have counts for
5 papers · 1 filter
Large problems are not necessarily hard: A case study on distributed NMPC paying off
Gösta Stomberg, Maurice Raetsch, Alexander Engelmann +1
A key motivation in the development of Distributed Model Predictive Control (DMPC) is to accelerate centralized Model Predictive Control (MPC) for large-scale systems. DMPC has the…
Decentralized Real-Time Iterations for Distributed NMPC
Gösta Stomberg, Alexander Engelmann, Moritz Diehl +1
This article presents a Real-Time Iteration (RTI) scheme for distributed Nonlinear Model Predictive Control (NMPC). The scheme transfers the well-known RTI approach, a key enabler…
Decentralized non-convex optimization via bi-level SQP and ADMM
Gösta Stomberg, Alexander Engelmann, Timm Faulwasser
Decentralized non-convex optimization is important in many problems of practical relevance. Existing decentralized methods, however, typically either lack convergence guarantees fo…
An essentially decentralized interior point method for control
Alexander Engelmann, Gösta Stomberg, Timm Faulwasser
Distributed and decentralized optimization are key for the control of networked systems. Application examples include distributed model predictive control and distributed sensing o…
A Distributed Active Set Method for Model Predictive Control
Gösta Stomberg, Alexander Engelmann, Timm Faulwasser
This paper presents a novel distributed active set method for model predictive control of linear systems. The method combines a primal active set strategy with a decentralized conj…