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The ACSD lab along with Jun.-Prof. Dr. Manuel Schaller (Numerische Mathematik, TU Chemnitz) will host the GAMM-Fachausschuss "Dynamik und Regelungstheorie" which takes place from March 20th to March 21st 2025 at TU Chemnitz. All information as well as the registration can be found here.
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Our Controlled Environment Agriculture research area leader Felix Krujatz received an AgriNext Award for Excellence in Agriculture at the AgriNext Conference (13th-14th November 2024, held in Dubai). He is one of 26 outstanding leaders who have demonstrated excellence and innovation in their fields.
Prof. Dr. Ralf Wunderlich (Brandenburg University of Technology, Cottbus) will give a talk on Stochastic Optimal Control of Heating Systems with a Geothermal Energy Storage at 04:00 pm in 2/N113 (in conjunction with Chemnitzer Mathematisches Kolloquium). Everybody is heartily invited. All past and future seminars can be found here.
The professorship warmly welcomes its new team members, Dr. Zühal Kurt and Dr. Ángeles Hoyo Sánchez who will strengthen our Controlled Environment Agriculture team.
Zühal was working on graph-based recommendation systems in her PhD dissertation at the Anadolu University (Türkiye). She was a postdoctoral researcher in the Fraunhofer IDMT and developed an explainable knowledge graph-based news recommendation system as an AI4Media Horizon project WG member. On the other hand, she had studies in medical image processing, machine learning and computer vision research areas.
Ángeles received a B.Sc. degree in Industrial Electronic Engineering and an M.Sc. degree in Industrial Engineering from the University of Almería (Spain) in 2016 and 2018, respectively. She obtained a Ph.D. degree in Computer Science from the University of Almería in 2023. Her research interests focus on PID control, control education, process control, and robust control, with applications to agricultural processes, solar plants, and biotechnology.
The following press release from Freie Presse gives insights into the goals of our train-related project, where, for example, a braking control is developed for precise braking of passenger trains.
Our team member Murali Padmanabha has successfully defended his dissertation with the title Optimal Control Strategies for Synergetic Insect and Plant Production: Maximizing Yield, Resource Efficiency and Sustainability.
The ACSD Lab presents a peer-reviewed publication at the Conference on Decision and Control 2024, which takes place in Milano on December 16th-19th. The paper is titled:
- Tube-Based MPC for Two-Timescale Discrete-Time Nonlinear Processes with Robust Control Contraction Metrics
The professorship warmly welcomes its new team member, Julius Frontzek who will strengthen our Controlled Environment Agriculture team.
Julius studied Mechanical Engineering at the Karlsruhe Institute of Technology for his bachelor's degree and Computational Engineering Science at TU Berlin for his master's degree.
The professorship warmly welcomes its new team member, Sriram Saravanan who will strengthen our Controlled Environment Agriculture team.
Sriram studied Electronics and Communication Engineering at Anna University Chennai for his bachelor's degree and Automation and Robotics at TU Dortmund for his master's degree.
Neueste Publikationen
Perspective on the Development and Integration of Hydrogen Sensors for Fuel Cell Control
Energies, 2024 [DOI]
On the Turnpike to Design of Deep Neural Networks: Explicit Depth Bounds
IFAC Journal of Systems and Control, 2025 [DOI]
Comparison of Unscented Kalman Filter Design for Agricultural Anaerobic Digestion Model
22nd European Control Conference (ECC), 2023 [DOI]
MPC without Terminal Ingredients Tailored to the SEIR Compartmental Epidemic Model
Systems and Control Letters, 2024 [DOI]
An Algorithm for Nutrient Mixing Optimization in Aquaponics
Applied Science, 2024 [DOI]
A stabilizing reinforcement learning approach for sampled systems with partially unknown models
International Journal of Robust and Nonlinear Control, 2024 [DOI]
Quantized Deep Neural Network Based Optimal Control of Greenhouses on a Microcontroller
Proc. of the 22nd European Control Conference (ECC), 2024 [DOI]
Deep Neural Network based Optimal Control of Greenhouses
Proc. of the 22nd European Control Conference (ECC), 2024 [DOI]
Observability Analysis of PEM Fuel Cell Systems with Anode Recirculation
Proc. of the 22nd European Control Conference, 2024 [DOI]
Predictive Control with Terminal Costs Based on Online Learning Using Value Iteration
Proc. of the 22nd European Control Conference, 2024 [DOI]