The advent of autonomous vehicles has heralded a transformative era in transportation,
resha** the landscape of mobility through cutting-edge technologies. Central to this …

Model Predictive Control (MPC) is an optimal control algorithm with strong stability and
robustness guarantees. Despite its popularity in robotics and industrial applications, the …

In this study, a novel application of the Koopman operator for control-oriented modeling of
proton exchange membrane fuel cell (PEMFC) stacks is proposed. The primary contributions …

As World trade is growing rapidly, the reduction of the environmental impact of in-port
operations towards a low or zero-emission scenario is becoming a paramount issue. To this …

In complex urban traffic scenarios, autonomous vehicles face significant challenges in
adapting to diverse and dynamic traffic conditions. Reward-based reinforcement learning …

The integrated Electronic Control Unit (ECU) plays a pivotal role in optimizing energy
efficiency within electric vehicles (EVs) by coordinating various subsystems, including the …

Efficient control of energy-intensive systems is essential for reducing energy consumption
and realizing sustainable development. However, considering the complex inter-dependent …

This article reviews optimization methods that enhance adaptability, efficiency and decision
making in modern manufacturing, emphasizing the transformative role of artificial …

This paper explores new sensor technologies and their integration within Connected
Autonomous Vehicles (CAVs) for real-time road condition monitoring. Sensors like …

This study addresses the enhancement of an injection-molded fiber-reinforced plastic/metal
hybrid automotive structure and its plastic injection molding process through the integration …