Linear model predictive control (MPC) can be currently deployed at outstanding speeds,
thanks to recent progress in algorithms for solving online the underlying structured quadratic …

In recent years control methods based on real-time optimization (RTO) such as model
predictive control (MPC) have been investigated for a significant number of applications in …

This article presents a systematic approach to realize highly dynamic control strategies for
the air path of diesel engines. It is based on grey-box models of individual air path …

Innovative charging concepts, such as two-stage turbocharging for gasoline engines, cause
high demands on the process control. The open-loop process is characterized by a complex …

Abstract Model predictive control (MPC) is increasingly being considered for control of fast
systems and embedded applications. However, MPC has some significant challenges for …

Die effiziente Lösung von Optimierungsproblemen in Echtzeit bildet die Grundlage vieler
moderner Regelungs-und Schätzverfahren. So basieren die prädiktive Regelung sowie die …

The implementation of nonlinear model predictive control (NMPC) in applications with fast
dynamics remains an open challenge due to the need to solve a potentially non-convex …

A huge research effort is being spent worldwide by automotive companies and academic
institutions for developing vehicles with high levels of autonomy, ranging from advanced …

This paper presents a class of efficient Newton-type algorithms for solving the nonlinear
programs (NLPs) arising from applying a direct collocation approach to continuous time …

We study a real-time iteration (RTI) scheme for solving online optimization problem
appeared in nonlinear optimal control. The proposed RTI scheme modifies the existing RTI …