Fraunhofer ITWM System Analysis, Prognosis and Control Main Subjects Projects Products Employees Courses Events Jobs

Competences         The department System Analysis, Prognosis and Control consists of several working groups. These groups deal with topics from the working areas Decision support in the medical sciences and in technology, dynamic heterogeneous networks, monitoring and control, multiscale structure mechanics and prognosis of material and product properties. Decision support in the medical sciences and in technology   The process of decision making based on complex data can be supported using mathematics and meaningful visualization. Accordingly the activities in this work area lie in the fields Data Mining, knowledge representation and knowledge management. Recent applications belong to computer-assisted medical diagnostics and product engineering in the technical sector. more information Dynamic heterogeneous networks   The group dynamic heterogeneous networks is dealing with the modeling and analysis of complex networked systems using mixed symbolic and numeric algorithms for differential-algebraic systems of equations (DAE systems). more information Monitoring and Control   The research work of this group is focused on the development and implementation of mathematical methods for system modeling and for observer and controller design. Main applications are technical systems, such as turbine generator shaft lines or test rigs for automobiles. more information Multiscale structure mechanics   This group is mainly working on three subjects. The first one refers to the numerical computation of the microscopic stress-strain behavior and effective material properties of composite or porous materials. The second subject deals with contact problems with micro-rough surfaces, which can also be solved by homogenization methods. Finally, within the third problem complex we consider time-dependent processes for composite bodies more information Prognosis of material and product properties   Within this working area data based identification algorithm are used to identify material and product properties of systems and processes for which no mathematical models for the description of the nonlinear and state varying relationships exist. more information     © Fraunhofer ITWM 2009   This website is optimized for Mozilla Firefox Browser. Last Update: Wed-05 Sep 2007