Our technology can be used in any industrial sector where engineering work can be supported or replaced by an automated process. That is: almost everywhere.
Previous successful applications of our technology comprise parts of the air path control of internal combustion engines, the speed sychronization of engines and transmissions, the implementation of virtual pressure and temperature sensors, the development and the testing of sensor fusion algorithms, the programming of µ-controllers, the design of modular robot arms, milling machines and various test benches, the automatic generation and deployment of machine learning models to webpages and the documentation of our engineering work.
Beyond those practical use cases the applicability of the methodology has been demonstrated for the pitch control of airplanes, the speed control of submarines and the control of inverters based on theoretical system models from the scientific literature.
Subsequently we list only an excerpt of possible fields of application with a particular focus on the development of software and the design of control algorithms.
Renewable energies
e,g, control of rectifiers, inverters, power converters, pitch control, current control at partial shading, overall machine control