Papers

5

Total Citations

89

H-Index

4

About

Christian Endisch is a leading figure in mechatronics and automation, whose work bridges advanced control theory and industrial manufacturing. His foundational research introduced **funnel-control** for robotics, a powerful adaptive strategy for position control of nonlinear, coupled systems. This work, detailed in his 2008 introduction to the topic (19 citations), provides a robust framework for high-gain controllability of minimum-phase systems. Endisch’s major contributions extend from theory to practice, particularly in the production of electric traction motors. He pioneered the use of standard industrial robots for **highly flexible needle winding** of stators, a breakthrough that replaces expensive, inflexible special-purpose machines. His 2017 paper (16 citations) and subsequent work on NURBS-based trajectory generation (2018, 9 citations) demonstrate how numerical optimization and CAD/CAM can automate and optimize winding processes, drastically reducing manual programming time. With over 42 citations for his foundational 2009 work, Endisch’s impact is clear: he has enabled the scalable, cost-effective production of electric drives essential for the automotive industry. His research is a compelling example of how rigorous control theory can solve real-world manufacturing challenges.

Research Focus

Key Achievements

4
H-Index
5
Papers
89
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Contributions to non-identifier based adaptive control in mechatronics
42 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Technical University of Munich, Technische Hochschule Ingolstadt

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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