Fields of competence

System analysis and control are at the center of all research and teaching activities at the Institute for System Dynamics. Emphasis is put on the development and application of methods in system theory, simulation, controls and optimization.

Automotive

Automotive

Automotive The ISYS Automotive Research Group is engaged in the development of electric, mechanical, thermal and fluidic systems within the automotive sector. Our research is focused on the application of novel methods in modeling and system analysis as well as linear/nonlinear control and optimization.
Drive Systems

Drive Systems

Drive Systems Cutting edge, efficient drive systems are a decisive competitive factor and conserving resources is an ongoing issue. Hence, the group drive and energy systems deals with design, control and optimization of hydraulic, pneumatic and electric drive systems. For this purpose, it relies particularly on methods from the fields modelling, control and optimization.
Large Scale Robotics

Large Scale Robotics

Large Scale Robotics The Large Scale Robotics Team of the ISYS works on solutions for problems occurring in the field of machines with large working spaces concerning the system's dynamics, like turntable ladders of fire trucks, different types of cranes, elevators or flight simulators. The use-oriented questions are dealt with in close cooperation with the respective industrial partner.
Optomechatronics

Optomechatronics

Optomechatronics The research of the Optomechatronics group at ISYS is focused on control solutions for optical systems. Unique active and adaptive optics are used to alter the optical imaging properties systematically. Important fields of our research include modeling of optical and mechatronic systems, control of those, but also high precision control of mechanical drives. We collaborate with partners in the industry, such as Mahr, but also with internal and external research institutes, such as the Institute of Applied Optics (ITO) and the Institut für Strahlwerkzeuge (IFSW), as well as the Max-Planck-Institute for Astronomy (MPIA) and the Large Binocular Telescope Observatory (LBTO), AZ, USA.
Medical Engineering

Medical Engineering

Medical EngineeringThe ISYS medical engineering team is involved with modeling, simulation, control, state estimation and optimization of medical engineering applications. We cooperate with physicians of the Universitätsklinikum Tübingen and medical technology companies. Our work is part of the Inter-University Center for Medical Technology Stuttgart-Tübingen (IZST) [german].
Systems Biology

Systems Biology

Systems BiologyThe ISYS Systems Biology team is engaged in the application and development of methods of Systems Theory in Biology. Our focus lies on mechanism-based modeling, model reduction and model analysis of metabolic and signal transduction networks. For this purpose, we perform both experimental and theoretical work. The ISYS is part of the Stuttgart Research Center Systems Biology (SRCSB) at the University of Stuttgart.
Process Technology

Process Technology

Process TechnologyThe process engineering group is involved in industrial continuous transport and conditioning processes, high volume air conditioning, closed loop steam processes for mobile applications and river reach and canal management. In all of these fields of application, distributed parameter systems and methods are used for modelling, simulation, feedforward and feedback control design.
Civil Engineering

Civil Engineering

Civil Engineering The civil engineering group of the institute is dealing with problems related to system dynamics in the field of the building industry. The research projects are caried out in close cooperation with partners from the domain of civil engineering and architecture.
Modeling

Modeling

In many engineering projects, modeling of dynamic systems can be regarded as the first step. The associated challenge is reproducing the system dynamics with satisfying accuracy while at the same time keeping the model complexity as low as possible. A large part of our modeling expertise lies in the field of distributed parameter systems, where the system states do not only depend on time, but also on space (one-, two- or even three-dimensional). This research area also focuses on model order reduction techniques needed to reduce high dimensional models to low dimensional models suited for control design.
Identification

Identification

The theoretical task of deriving mathematical models of differential equations is strongly connected with the rather practical task of validation and identification of these models. This requires to determine the dominant dynamics, as well as to parametrize and to validate this choice using measurements taken from the real system. The institute’s broad expertise in the field of optimization is widely applied for the algorithms we use to accomplish these tasks.
Model Order Reduction

Model Order Reduction

High order models e.g. resulting from the Finite Element Method are unsuitable for the design of an observer or a controller. At ISYS, model order reduction methods are therefore applied to reduce the system order siginificantly while conserving the dominant and/or interesting features of the originial systems. There exists a number of different approaches depending on the type of analysis (structural or thermal) and whether parameters are to be conserved in the reduced model.
Simulation

Simulation

Methods and tools for the simulation of dynamic systems are an important part of our projects, but also of our teaching. A model-based strategy allows for a fast and efficient control design.
Signal Processing

Signal Processing

The input and output of any controller, observer, and plant, as well as their respective models, can be described as a signal. For this reason, the methods of signal processing are key in control engineering research and being taught in basic and advanced classes and labs on analog and digital signal processing.
Optimization

Optimization

Optimization and optimal control methods are a major part of our research. To derive and implement optimal feedforward control and/or model predictive control algorithms is the main objective in teaching and research in this field at ISYS.
Synthesis

Synthesis

Trajectory generation methods as well as control laws based on the application of differential geometry are long-term fields of research at ISYS.