Abstract: Distributed optimization methods have been used extensively in multirobot task allocation (MRTA) problems. In distributed optimization domain, most of the algorithms are developed for solving convex optimization problems. ...

Abstract: This paper focuses on an eco-driving-based hierarchical robust energy management strategy for connected and automated hybrid electric vehicles in the presence of uncertainty. The proposed control strategy includes a velocity ...

Abstract: This research focuses on the predictive energy management of connected human-driven hybrid electric vehicles (HEVs) to improve their fuel efficiency while robustly satisfying system constraints. We propose a hierarchical ...

Abstract: We present a fast data-driven model predictive control (MPC) strategy for connected and automated vehicles, which can ensure collision avoidance in the presence of uncertainty in shared/predicted trajectory of preceding ...

Abstract: This article proposes a hierarchical energy management strategy for power-split hybrid electric vehicles (HEVs) in presence of driving cycle uncertainty. The proposed hierarchical controller exploits long-term and short-term ...

Abstract: This article proposes a hierarchical energy management strategy for power-split hybrid electric vehicles (HEVs) in presence of driving cycle uncertainty. The proposed hierarchical controller exploits long-term and short-term ...