This survey provides an overview of combining federated learning (FL) and control to
enhance adaptability, scalability, generalization, and privacy in (nonlinear) control …

The automation of hydraulic machinery has the potential to improve productivity and reduce
human labor in many industries. However, the complex dynamics of hydraulic actuators …

In this work, we introduce a data-driven feed-forward control approach for hydraulic
cylinders using Gaussian process regression. Gaussian process (GP) models provide …

State-estimation is an integral method for automated driving as the need for more
measurement data for vehicle control increases, despite them not always being directly …

Complicated first principles modelling and controller synthesis can be prohibitively slow and
expensive for high-mix, low-volume products such as hydraulic excavators. Instead, in a …

Recently, data-driven and hybrid control of hydraulic cylinders for excavator assistance
functions have been in the focus of many research papers. To ensure an accurate behavior …

This work proposes a data-driven modeling and the corresponding hybrid motion control
framework for unmanned and automated operation of industrial heavy-load hydraulic …

In this work, we will introduce a learning-based feed-forward control approach for hydraulic
cylinders. We present that the introduced control approach provides very encouraging …

건설 장비 분야에서의 자동화 기술은 작업의 효율성과 정확성을 높이는 중요한 역할을 한다. 본
연구는 자동화의 한 측면으로써 모델 기반 제어 기술을 설계하여 자동 굴착기의 굴착 작업에 …