MPC, Learning and Control at Bosch

Leonardo Cecchin, Maximilian Manderla, Adrian Trachte


Wednesday, July 19, 2023, 11:00 - 11:59

Building 102 - SR 01-012

In the ever-evolving landscape of automation and control systems, Bosch uses cutting-edge technologies to enhance efficiency and performance across various domains. This presentation focuses on two key aspects of Bosch's control system advancements: Model-Predictive Control (MPC) and Learning Control. 

With MPC, Bosch has successfully tackled complex control challenges in areas such as automotive systems and smart energy management. This presentation shows some of the challenges and benefits of MPC and demontrates how Bosch has harnessed its potential to achieve superior control performance. 

Additionally, Bosch has embraced Learning Control as a means to continually improve and adapt control strategies over time. By leveraging machine learning algorithms and real-time data, Bosch's control systems can learn from operational experiences and adjust control parameters accordingly. This presentation explores the integration of learning algorithms into control systems, highlighting the advantages of adaptive control and showcasing specific use cases where Bosch has applied this approach. 

Throughout the presentation, real-world examples and case studies from Bosch's diverse range of applications will be presented to illustrate the effectiveness of Model-Predictive Control and Learning Control.  

Dr.-Ing. Adrian Trachte studied Engineering Cybernetics at the University of Stuttgart (Germany) and Tokyo Institute of Technology (Japan). He joined Bosch Rexroth in 2009 as a PhD student working on nonlinear flatness-based control of hydraulic systems supervised by TU Dresden (Germany). After joining Bosch Corporate Research in 2012, he worked on methods for adaptive and learning control and as a project leader. In 2022 he became group leader in the “Knowledge Engineering and Digital Twin Technologies” competence cluster.

Dr.-Ing. Maximilian Manderla studied mechanical engineering at the Technical University of Darmstadt (Germany) and the University of California at Berkeley (USA). In 2007 he graduated at the Technical University of Darmstadt and gained a Dr. degree (corresponding to PhD) in the field of control systems engineering in 2011 from the same institution. He was working for Voith Hydro from 2011 to 2015 with focus on hydro-electric power plant dynamics, simulation and control. In 2015 he has been joining Bosch where he is currently active as project manager in the field of control engineering with emphasis on electrical drives in automotive applications.