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Prof. Dr.-Ing. Dr. h. c. Oliver Sawodny (University of Stuttgart) will give a talk. Further information will be available soon. Everybody is heartily invited. An overview over all past and future seminars can be found here.

From April 11th to 18th, Prof. Jean Lévine (MINES ParisTech) will visit our lab and gives a talk on An introduction to flatness with emphasis on computational aspects at 2019/04/12, 3:30 pm in 2/W017. Furthermore, he will give a short course on Differential flatness on 2019/04/15 and 2019/04/17 from 12 a.m. to 4 p.m. in 2/W168. Everybody is heartily invited. An overview over all past and future seminars can be found here.

The GAMM-Fachausschuss/Activity Group of the GAMM (International Association of Applied Mathematics and Mechanics) will be held from at 25th and 26th march 2019 at the Technische Universität in Chemnitz and will be organized by our professorship. Further information can be found here.

The professorship warmly welcomes its new team members, Alexander Kobelski and Fritjof Griesing-Scheiwe.
Alexander studied Electrical Engineering in Chemnitz. His Master thesis was on modeling and control of fungal growth. He will strengthen our team on the research topics Modeling and optimal control for biotechnological processes for food production.
Fritjof studied Technical Cybernetics and Systemtheory at the Ilmenau University of Technology. His Master thesis was on Irregularly sampled data in the design of a soft sensor system .

Ngoc Thinh Nguyen, M.Eng., from the INP Grenoble (Prof. Ionela Prodan's group) visits the ACSD lab to work on hierarchical fault tolerant control.

Dr.-Ing. Gernot Herbst, who works at SIEMENS, joins the group as a guest lecturer. He will give a course on Digital Control in 2/W065 at 3:30pm starting at 2019/01/08. More information can be found here.

Starting in early 2019, several members of the ACSD lab will be working on model-based, adaptive and robust control for fuel cells in hybrid cars. The lab will take a leading role and will closely collaborate with several industrial and academic partners. Further information can be found either here or here

The ACSD group successfully acquired two new research projects dealing with optimal control and machine learning.
In the first project, control methods for optimal fertilization of farm land will be investigated in a large consortium with various partners from all over Germany.
In the second project, starting in 2019, machine learning will be used for state-dependent soil irrigation and fertilization of cultivated plants.

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.

Recent Publications

Practical stability analysis of sliding-mode control with explicit computation of sampling time
Asian Journal of Control [DOI]

A Multirate Hierarchical MPC Scheme for Ensemble Systems
Proc. Conference on Decision and Control (CDC)

Hierarchical Control with Guaranteed Fault Diagnosability
Proc. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) [DOI]

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

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) [DOI]

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

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

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

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