Ride comfort plays an important role in determining the public acceptance of autonomous
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …

Magnetorheological (MR) dampers have significantly advanced automotive suspension
systems by providing adaptable damping characteristics in response to varying road …

The growing adoption of electric vehicles has drawn a renewed interest in intelligent vehicle
subsystems, including active suspension. Control methods for active suspension systems …

Currently, the research on controlling vehicle ride comfort primarily revolves around utilizing
traditional algorithms for active or semi-active control of suspension systems. However …

This study addresses the limitations of traditional active and semi-active suspension control
systems in terms of adaptability and nonlinear handling, by exploring the potential of Deep …

This paper presents a differential geometric control approach that leverages SE (3) group
invariance and equivariance to increase transferability in learning robot manipulation tasks …

The uncertain delay characteristic of actuators is a critical factor that affects the control
effectiveness of the active suspension system. Therefore, it is crucial to develop a control …

To prevent the degradation of control performance resulting from the use of the clipped
approach, this paper presents a novel control strategy for CDC (continuous damping control) …

Reinforcement learning has shown remarkable success in various applications, and in some
cases, even outperforms human performance. However, despite the potential of …

To address power quality issues in distribution networks, static synchronous compensation,
also known as distribution-static synchronous compensation (D-STATCOM), has been …