The pervasive implementation of Information Technologies paved the way to significant transformations in the retail banking sector, including organizational changes as well as a broader product range. The central theme that is discussed in this paper is the degree to which the unfolding of a technological trajectory provided incentives to agents for the creation of absorptive capacity and the s...

Active valves are most effective tools to control gas flow in compressors if fast transitions between the open mode and closed mode are needed. Unfortunately, an accurate model including several nonlinear effects and in particular the resistance and gas flow forces is not available, and this prevents the use of standard model based approaches for time optimal control. However, the repetitive na...

Slide 0 In this talk, we address controllability and trajectory generation issues for a class of control systems we refer to as stratified. The foundation of our work is exploiting the structure of a stratified configuration space to obtain controllability results and to formulate trajectory generation algorithms.

A concept relating story-board description of video sequences with spatio-temporal hierarchies build by local contraction processes of spatio-temporal relations is presented. Object trajectories are curves in which their ends and junctions are identified. Junction points happen when two (or more) trajectories touch or cross each other, which we interpret as the “interaction” of two objects. Tra...

In a recent paper we presented the first adaptive control design for an ODE system with a possibly large actuator delay of unknown length. We achieved global stability under full state feedback. In this paper we generalize the design to the situation where, besides the unknown delay value, the ODE also has unknown parameters, and where trajectory tracking (rather than equilibrium regulation) is...

Direct methods for trajectory optimization are traditionally based on a priori temporal discretization and collocation methods. In this work, the problem of node distribution is formulated as an optimization problem, which is to be included in the underlying non-linear mathematical programming problem (NLP). The benefits of utilizing the suggested method for on-line trajectory optimization are ...

This paper focuses on the restart strategy of CMA-ES on multi-modal functions. A first alternative strategy proceeds by decreasing the initial step-size of the mutation while doubling the population size at each restart. A second strategy adaptively allocates the computational budget among the restart settings in the BIPOP scheme. Both restart strategies are validated on the BBOB benchmark; the...

Direct methods for trajectory optimization are traditionally based on a priori temporal discretization and collocation methods. In this work, the problem of node distribution is formulated as an optimization problem, which is to be included in the underlying NLP. The benefits of utilizing the suggested method for on-line trajectory optimization, are illustrated by a missile guidance example.

Solar aircraft offer the possibility of an unlimited endurance. This can be achieved if the energy required for the flight at night is stored in batteries. The goal of an unlimited endurance performance is treated as a trajectory optimization problem. This is a problem of periodic optimal flight because the trajectory is repeated after a complete day-night cycle. A trajectory optimization is pe...