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Professur Regelungstechnik und Systemdynamik
Professur


Übersicht

Die Forschung in der Professur von Prof. Dr.-Ing. habil. Stefan Streif beschäftigt sich mit der Regelung, Diagnose, Systemanalyse, Klassifikation und Identifikation komplexer dynamischer Systeme und Netzwerke. Hierfür werden verschiedene Ansätze aus der Regelungstheorie, angewandten Mathematik, Optimierung und Informatik kombiniert, appliziert und konsequent zu flexibel einsetzbaren Methoden weiterentwickelt. Neben einer methodenorientierten Grundlagenforschung widmen wir uns stark interdisziplinären Fragestellungen und Anwendungen aus den Bereichen Automatisierungstechnik, Mechatronik, Agrarwissenschaft, Energiesysteme und Systembiologie. Nicht zuletzt durch die Untersuchung von Systemen aus sehr unterschiedlichen Anwendungsgebieten entsteht ein interdisziplinäres Umfeld. In diesem bringen wir die entwickelten Methoden in enger Kooperationen mit Industrie- und Forschungspartnern zum Einsatz.

Neuigkeiten

The ACSD Lab will present two papers on the Conference on Decision and Control to be held in Miami Beach on December 17th-19th. New research results in the area of constructive analysis of control systems and hierarchical MPC will be presented.

The ACSD Lab will present a collaborative paper on the 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS, to be held in Warsaw, Poland on August 29th-31st. New research results in the area of hierarchical fault tolerant control will be presented by Assoc. Prof. Florin Stoican from the Polytechnical University Bucharest.

Mr. Lukas Munser defends his master thesis on the topic Identification and Aggregation of Dynamic Behavior based on Kernel Methods.

Mr. Henrik Rudolf defends his master thesis on the topic Identification of the Thermal Behavior of Components in a Cathode Path of a PEM Fuel Cell using a LPV Model. This thesis was done in cooperation with the professorship Advanced Powertrains at the TUC.

The ACSD Lab will present a paper on the Nonlinear Model Predictive Control Conference to be held in Madison on August 19th-22nd. New research results in the area of adaptive dynamic programming will be presented.

Mr. Sina Nahvi defended his research project on the topic Maschinelles Lernen für prädiktive Instandhaltung. The project was done in cooperation with Volkswagen Sachsen GmbH.

In a highly competitive process over the last two years, a project called CUBES Circles was selected for possible funding by the BMBF within the call "Agricultural systems of the future". In the project, several partners from academia and industry from Germany will be working together. The project is supposed to start in 2019 and will be coordinated by the Humboldt University Berlin. The ultimate goal of the project is to couple the resource and energy flows between different food production units to achieve resource and energy efficiency of the overall system. The Automatic Control and System Dynamics Lab at the TU Chemnitz will have a central role and will be responsible for the optimal control and scheduling of the flows between the coupled agricultural production systems.

Prof. Dr. Karl Worthmann is visiting our professorship on June 18-19, 2018. He conducts scientific discussions with the professorship staff and gives a lecture on suboptimality bounds of model-predictive control without stabilizing constraints. Prof. Worthmann is an expert in optimal control and nonlinear systems. He is also a project partner in KONSENS.

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.

Neueste Publikationen

Integer-free Optimal Scheduling of Smart Appliances
Proc. European Control Conference (ECC) [Accepted]

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

Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control
Proc. European Control Conference (ECC) [Accepted]

Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty
IMA Journal of Mathematical Control and Information [Accepted] [DOI]

Practical sample-and-hold stabilization of nonlinear systems under approximate optimizers
IEEE Control Systems Letters (L-CSS) [Accepted]

Constructive analysis of Caratheodory's existence and uniqueness theorem
IEEE/CAA Journal of Automatica Sinica [Accepted] [DOI]

Comparison of Different Calibration Methods in a Non-invasive ICP Assessment Model
Intracranial Pressure & Neuromonitoring XVI [DOI]

Addressing infinite-horizon optimality in MPC via Q-learning
Proc. of the 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC) [Accepted]

Fuzzy Pattern Classification for the Online Detection of Driver Lane Change Intention
TeaP 2017 : abstracts of the 59th Conference of Experimental Psychologists

Stacked adaptive dynamic programming with unknown system model
IFAC-PapersOnLine [20th IFAC World Congress] [DOI]