In the project "Adaptive control systems for mobile machines", the applicability of machine learning for the control and optimization of mobile machinery was successfully demonstrated. In the follow-up project "Adaptive control systems II", the number of parameters that can be optimized and controlled using machine learning is being expanded. A further aim of the project is to investigate the possibilities for porting an existing and functional control system to larger machines and quantify the adaptation effort required for this.