Many management science applications involve the control of dynamic systems, ie, systems
that evolve over time. They are called continuous-time systems or discrete-time systems …

An efficient Newton-type scheme for the approximate on-line solution of optimization
problems as they occur in optimal feedback control is presented. The scheme allows a fast …

Parametric nonlinear optimal control problems subject to control and state constraints are
studied. Two discretization methods are discussed that transcribe optimal control problems …

Dynamic optimization problems are typically quite challenging for large-scale applications.
Even more challenging are on-line applications with demanding real-time constraints. This …

The present paper is an introductory and survey paper of the treatment of realistically
modelled optimal control problems from applications in the aerospace field. Especially those …

In this paper we consider a class of optimal control problems that have continuous-time
nonlinear dynamics and nonconvex control constraints. We propose a convex relaxation of …

Parametric nonlinear control problems subject to vector-valued mixed control-state
constraints are investigated. The model perturbations are implemented by a parameter p of …

This paper presents an efficient symbolic-numerical approach for generating and solving the
boundary value problem-differential algebraic equation (BVP-DAE) originating from the …

In the last decade, the new space economy has underlined the importance of the space
sector for public and private actors. Advances in CubeSats technologies allowed …

Computationally efficient algorithms are critical in making Model Predictive Control (MPC)
applicable to broader classes of systems with fast dynamics and limited computational …