Abstract
Despite decades of academic progress, modern control methods rarely make it into series production. This talk explores why, by tracing the disconnect between university education, research breakthroughs, and industrial application in the automotive sector. It examines the real-world demands placed on controllers, the institutional roles of academia and industry, and the systemic friction that prevents promising methods from reaching the road. Spoiler: the main bottleneck isn’t the math—it’s the industry itself. Still, the talk offers pragmatic ideas for reshaping foundational education to better prepare engineers for the realities of production, and to avoid the worst-case outcomes we too often see.
Biographical Information
Dieter Schwarzmann studied Engineering Cybernetics at the University of Stuttgart and earned his M.Sc. in Mechanical Engineering from Rose-Hulman Institute of Technology (USA). He completed his Ph.D. in Control Engineering under Prof. Lunze at Ruhr University Bochum and deepened his expertise in adaptive control during a research stay with Dr. Annaswamy at MIT. Bridging academia and industry, he led control engineering teams at Robert Bosch GmbH and IAV GmbH, where he built internal communities and brought estimation and control algorithms into real-world automotive applications. His enduring focus: identifying industrial bottlenecks and closing the gap between theoretical research and robust, scalable solutions for series production. His current focus is the shift of centralized computation and new E/E architecture in automobiles, as well as its effect on control algorithms. In 2025 Dieter Schwarzmann was appointed Adjunct Professor (Honorarprofessor) at the University of Stuttgart.