Grosser Systeme Echtzeitoptimierung Schwerpunktprogramm Der Deutschen Forschungsgemeinschaft

Echtzeitoptimierung Grosser Systeme Der Deutschen Forschungsgemeinschaft Schwerpunktprogramm

Grosser Systeme Echtzeitoptimierung Schwerpunktprogramm Der Deutschen Forschungsgemeinschaft

Grosser Systeme Echtzeitoptimierung Schwerpunktprogramm Der Deutschen Forschungsgemeinschaft

We consider a network of Euler-Bernoulliand Rayleigh-beams. For the sake of simplicity, we concentrate on scalar displacements coupled to torsion. We show that the model is well-posed in appropriate ramification spaces. We then describe a dynamic nonoverlapping domain decomposition procedure of the network into its individual edges and provide a proof of convergence. Further, we formulate typic...

Grosser Systeme Echtzeitoptimierung Schwerpunktprogramm Der Deutschen Forschungsgemeinschaft

Although reconciliation of steady-state process data is routinely applied in industrial practice, the theoretical understanding of the problem and its adequate formulation in a dynamic setting is still not mature. Existing formulation approaches are based on stochastic lters, deterministic observers or mathematical programming techniques. In this contribution, we suggest a general problem formu...

Grosser Systeme Echtzeitoptimierung Schwerpunktprogramm Der Deutschen Forschungsgemeinschaft

We derive real{time global optimizationmethods for several clustering optimization problems used in unsupervised texture segmentation. Speed is achieved by exploiting the topological relation of features to design a multiscale optimization technique, while accuracy and global optimization properties are gained using a deterministic annealing method. Coarse grained cost functions are derived for...