For an optimal control problem, one seeks to optimize a performance measure subject to a
set of dynamic, and possibly algebraic, constraints. The dynamic constraints may be …

For dynamic distributed systems modeled by partial differential equations, existing methods
of sensor location in parameter estimation experiments are either limited to one-dimensional …

The calculation of optimal driving strategies for on-board control of freight trains is a
challenging task. In this paper we calculate the critical switching points for a globally optimal …

Ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) are
widely used to model control systems in engineering, natural sciences, and economy …

The control parameterization method is a popular numerical technique for solving optimal
control problems. The main idea of control parameterization is to discretize the control space …

Mathematical modeling, simulation and optimization techniques had a great impact in the
history of mankind and helped to understand and improve many processes of different kinds …

We consider an optimal control problem with a nonlinear continuous inequality constraint.
Both the state and the control are allowed to appear explicitly in this constraint. By …

The article discusses the application of the branch&bound method to a mixed integer non‐
linear optimization problem (MINLP) arising from a discretization of an optimal control …

Many practical optimal control problems include discrete decisions. These may be either
time-independent parameters or time-dependent control functions as gears or valves that …

The article discusses a variable time transformation method for the approximate solution of
mixed‐integer non‐linear optimal control problems (MIOCP). Such optimal control problems …