Solving complex optimal control problems have confronted computational challenges for a
long time. Recent advances in machine learning have provided us with new opportunities to …

Transportation accounts for 28% of energy consumptionin the US, with 75% of that occurring
on highways. Workers spent on aggregate over three million driver-years commuting to their …

This paper proposes a neural network architecture that guarantees stability and applies it to
address the longitudinal vehicle platoon problem. Considering the safety and consistency …

Abstract Deep Neural Networks (DNNs) enable computers to excel across many different
applications such as image classification, speech recognition and robotic control. To …

Optimal Control is a widely used controlling method. It is a process of determining control
and states for a system over a period of time to minimise a predefined performance. In this …