Machine learning techniques, including Gaussian processes (GPs), are expected to play a significant role in meeting speed, accuracy, and functionality requirements future data-intensive mechatronic systems. This paper aims reveal the potential of GPs for motion control applications. Successful applications feedforward control, identification noncausal feedforward, position-dependent snap nonlin...

Attosecond science capitalizes on the extreme nonlinearity of strong fields—driven by few-cycle pulses—to attain attosecond temporal resolution and give access to electron motion dynamics matter in real time. Here we measured relative electronic delay response a dielectric system triggered field pulses be order few hundred attoseconds. Moreover, exploited following driver demonstrate all-optica...

This paper considers the ‘reduction’ problem for large-scale distributed control systems. In particular, we consider control-theoretic concepts for control systems containing multiple instances of identical controllers or components where the overall system is invariant with respect to interchanging these identical components. The main results are invariance of controllability, motion planning ...

The technical feasibility of roll motion control devices has been amply demonstrated for over 100 years. Performance, however, can still fall short of expectations because of deficiencies in control system designs, which have proven to be far from trivial due to fundamental performance limitations. This tutorial paper presents an account of the development of various ship roll motion control sy...