Springe zum Hauptinhalt
Professur Regelungstechnik und Systemdynamik
Professur

 

 

Neuigkeiten


Wir stellen ein!
Freie Doktoranden- und Postdoc-Stellen verfügbar! Weitere Informationen sind auf unserer Jobs-Seite zu finden.
Bei Interesse an einer Abschlussarbeit schreiben Sie bitte an . Weitere Informationen zu Themen finden Sie unter diesem Link .

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.

Our team members Mr. Hauck, Mr. Moreno-Mora, Mrs. Tafat, and Mr. Sathyanarayanan presented their peer-reviewed publications at the European Control Conference 2024, which took place in Stockholm on June 25th-28th. The papers are titled:

  • Observability Analysis of PEM Fuel Cell Systems with Anode Recirculation
  • Predictive Control with Terminal Costs Based on Online Learning Using Value Iteration
  • Global observability analysis of a growth model for insects farming
  • Deep Neural Network based Optimal Control of Greenhouses
  • Quantized Deep Neural Network Based Optimal Control of Greenhouses on a Microcontroller
  • Comparison of Unscented Kalman Filter Design for Agricultural Anaerobic Digestion Model
Furthermore, the Advanced Control Methods for Food Production and Agriculture session was hosted by Prof. Streif as chair and Dr. Sauerteig as co-chair.

The professorship warmly welcomes its new team member, Patrick Nestler who will strengthen our Controlled Environment Agriculture team.
Patrick studied Electrical Engineering for his bachelors and masters degree at Technische Universität Chemnitz. He previously worked at the professorship as a research assistant and wrote his bachelors and masters thesis in the area of CEA.

TU Chemnitz is a partner of the BMBF founded innovation space NewFoodSystems, which is working on concepts for sustainable and healthy future food. The innovation space provides the framework for researching and developing new, market-ready production methods and cultivation processes. From 1st of June 2024, our professorship will coordinate the NewFoodSystems project ENABLE, which aims to establish algae-based bioactive foods.

Prof. Dr. Tobias Breiten (TU Berlin) will give a talk on An approach to nonlinear observer design via optimal control theory – the Mortensen observer at 04:00 pm in 2/W014 (in conjunction with Chemnitzer Mathematisches Colloquium). Everybody is heartily invited. All past and future seminars can be found here.

Prof. Dr.-Ing. Alexander Schaum (University of Hohenheim) will give a talk on Monitoring and control of balance models with focus on bio- and food process engineering at 01:15 pm in 2/W065. Everybody is heartily invited. All past and future seminars can be found here.

Neueste Publikationen

A stabilizing reinforcement learning approach for sampled systems with partially unknown models
International Journal of Robust and Nonlinear Control, 2025 [DOI]

An Algorithm for Nutrient Mixing Optimization in Aquaponics
Applied Science, 2024

MPC without Terminal Ingredients Tailored to the SEIR Compartmental Epidemic Model
Systems and Control Letters, 2024

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]

Tube-based MPC for Two-Timescale Discrete-Time Nonlinear Processes with Robust Control Contraction Metrics
63rd IEEE Conference on Decision and Control, 2024

Global observability analysis of a growth model for insects farming
Proc. of the 22nd European Control Conference, 2024 [DOI]

Technical and Economic Design of the Hydrogen-Based Energy Storage Systems for Power System Stability with 80% Renewable Energy-Research Project: HZwo StabiGrid
8th IEEE Workshop on the Electronic Grid(eGRID), 2023