This is a list of topics for Bachelor (B), Student (S) and Master theses (M), small (4 LP, P4) and large (8 LP, P8) projects, projects for Scientific Computing (10 LP, SC) as well as Projects with Companies (4LP, PwC4) currently available at the IRT. List entries without any of the above identifiers describe current research areas with potentially open topics for theses.
Please note our guidelines for the execution of student theses.
Subject areas of possible projects and specific topics
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(B/M) Data-Driven Predictive Control in Energy-Flexible Buildings
Applications of data-driven predictive control in building control. External project opportunity in Switzerland.
- (B/M) A Bayesian Perspective in Data-Driven System Analysis and Control
- (B/M) Low-Rank Matrix Approximation with Sparse Learning Theory
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(M) Control-theoretic analysis of the interactions between the hypothalamus-pituitary-gonadal and hypothalamus-pituitary-adrenal axes
Analysis of mathematical models of the human hypothalamus-pituitary-gonadal gonadal and hypothalamus-pituitary-adrenal axes, and their mutual interactions, sing tools from systems and control theory.
- (M) Development of cost function tuning methods in MPC for traffic scenario control
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Online convex optimization for controlling dynamical systems
Various works on the development, theoretical analysis and implementation of learning-based controller synthesis with a focus on the application of online convex optimization to the control of dynamic systems.
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Suboptimal approaches to optimization-based state estimation
Various works on the design of suboptimal moving horizon estimators, on the analysis/derivation of their theoretical properties, and on their application to nonlinear example systems.
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Sample-based observability and state estimation
Various works investigating the observability, detectability, and state estimation of a system in the presence of irregular sampling, i.e., readings of the system output that are present only irregularly.
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Data- and learning-based control of nonlinear systems
Various works on the development, theoretical analysis and implementation of data- and learning-based control for nonlinear systems. Data-based control is the field of designing controllers purely from input/output process data, without explicitly identifying a mathematical model of the system.
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Reinforcement Learning for Control
Various works on extending of current reinforcement learning methods to design output-feedback optimal controllers, on developing robust-control learning schemes, and on performing application-oriented comparisons between reinforcement learning and other learning- or data-based controllers.
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Pituitary-Thyroid Feedback Loop
Various works on modelling and control of the Pituitary-Thyroid feedback loop
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roboterfabrik
The roboterfabrik is a joint project of LUH and Region Hannover and bundles education in robotics for students, trainees and pupils with the aim of preparing them for a later career in a digitalized working world. The project is carried out by the Institute of Autoamtic Control and the Institute of Mechatronic Systems (imes). Within the framework of this project, final theses are occasionally offered, for example for the creation of new robotics demonstrators.
- P4/P8/SC: Projects around hardware, electronics, control and programming of mobile robots for soccer competitions.
Contact: Torsten Lilge (E-Mail) - PwC4: Within the program Project with Companies of the ZQS of the LUH, interdisciplinary projects in direct cooperation with companies are offered, which can be credited with 4 LP in the area of key competencies/Studium Generale. One of these projects will be a robotics project in cooperation with Vision Lasertechnik GmbH, which deals with the use of lightweight robots for laser welding. Details and registration: Website of the ZQS.
- P4/P8/SC: Projects around hardware, electronics, control and programming of mobile robots for soccer competitions.