Contouring control of 3D trajectory is critical in multi-axial machine tool, scanning stage and
other precision automation systems. Currently, most contouring controllers are based on …

Learning-based control methods for industrial processes leverage the repetitive nature of
the underlying process to learn optimal inputs for the system. While many works focus on …

While conducting large-depth vertical drilling, correcting well trajectory deviations is a critical
and challenging task. Designing a feasible deviation-correction trajectory becomes an …

This article presents an event-triggered data-driven predictive control approach for unknown
linear time-invariant (LTI) multirate systems subject to bounded measurement noise. First, an …

The future of intelligent manufacturing machines involves autonomous selection of process
parameters to maximize productivity while maintaining quality within specified constraints …

Intelligent control methods have led to a significant simplification of the robotic arm modeling
and control tuning process, and thus they have been widely used. To further improve the …

The article analyses the use of servomotors in the control systems of industrial equipment,
focusing on the alternative offered by position and speed synchronization in relation to …

Servo systems, one of the backbones of modern manufacturing, are supposed to move as
fast as possible for high productivity. Due to the inaccurate information on torque capacity …

Manufacturing automation is vital to various industrial sectors: aeronatic, automotive,
biomedical, consumer goods, and others. Two main trends influence the development of …

This article proposes an online prediction based real-time iterative compensation (RIC)
method with enhanced accuracy and robustness for ultraprecision contouring control tasks …