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Automatic Control and System Dynamics
Lab


Overview

Research at the Laboratory of Prof. Dr.-Ing. habil. Stefan Streif is concerned with control, diagnosis, analysis and identification, verification, and classification of complex systems. Methods of control theory, modeling, applied mathematics, optimization, and computer science are synergistically combined, applied and further developed. Application areas are diverse and include automation, mechatronics, agricultural sciences, energy systems and systems biology. In addition to a solid method-oriented and theoretically well-founded research, the application relevance is attributed great importance. Thus, the research has a strong interdisciplinary focus. For this reason, the Lab cooperates closely with industrial and academic partners.

News

The ACSD Lab will present two papers on the European Control Conference, which takes place in Cyprus on June 12th-15th. New research results in the area of optimal and predictive control will be presented by Mr. Petzke and Mr. Beckenbach.

We are happy to have Prof. Didier Henrion from the LAAS-CNRS, University of Toulouse and the Czech Technical University in Prague as a guest in our lab. He will give a talk on Lasserre's hierarchy in polynomial optimization and special application to differential equations.

The professorship warmly welcomes its new team member, Patrick Schmidt. Patrick studied Engineering Cybernetics and Systems Theory at the Ilmenau University of Technology. His Master thesis was on stochastic optimal control. He will strengthen our team on the research topics: Nonlinear Control and System Identification.

The lab presents its new summer term seminar course on Complex Systems see CSS. Within the course we focus on methods of analysis, control and identification of complex networked systems from selected application areas, e.g. Energy systems, process engineering, automation systems, agricultural engineering and mechatronics.

The lab for Automatic Control and System Dynamics like to announce its new summer term course on the theory of Dynamics and Control of Networked Systems see DCNS. Within the course the state of the art approaches to control networked system and their applications in ongoing research projects e.g. KONSENS will be treated.

Recent Publications

Addressing infinite-horizon optimization in MPC via Q-learning
6th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2018) [accepted]

Hierarchical Control with Guaranteed Fault Diagnosability
IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess 2018) [accepted]

Practical Sample-and-hold Stabilization of Nonlinear Systems Under Approximate Optimizers
IEEE Control Systems Letters (L-CSS) [early access, DOI]

A Constructive Version of the Extremum Value Theorem for Vector Spaces of Vector-valued Functions
Journal of Logic and Analysis [accepted]

Analysis of the Caratheodory's Theorem on Dynamical System Trajectories Under Numerical Uncertainty
IEEE/CAA Journal of Automatica Sinica [accepted]

Analysis of Extremum Value Theorems for Function Spaces in Optimal Control Under Numerical Uncertainty
IMA Journal of Mathematical Control and Information [accepted]

Fast Stochastic Model Predictive Control of End-to-end Continuous Pharmaceutical Manufacturing
Process Systems Engineering for Pharmaceutical Manufacturing

Integer-free Optimal Scheduling of Smart Appliances
European Control Conference 2018 [to appear]

Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control
European Control Conference 2018 [to appear]

Constructive Analysis of Control Systems Stability
IFAC World Congress 2017