Towards efficient MPPI trajectory generation with unscented guidance: U-MPPI control strategy

IS Mohamed, J Xu, GS Sukhatme… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
The classical Model Predictive Path Integral (MPPI) control framework, while effective in
many applications, lacks reliable safety features since it relies due to its reliance on a risk …

Ecological advanced driver assistance system for optimal energy management in electric vehicles

SA Sajadi-Alamdari, H Voos… - IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Battery Electric Vehicles have a high potential in modern transportation, however, they are
facing limited cruising range. The driving style, the road geometries including slopes, curves …

Development of an adaptive model predictive control for platooning safety in battery electric vehicles

A Capuano, M Spano, A Musa, G Toscano, DA Misul - Energies, 2021 - mdpi.com
The recent and continuous improvement in the transportation field provides several different
opportunities for enhancing safety and comfort in passenger vehicles. In this context …

Global sensitivity analysis of economic model predictive longitudinal motion control of a battery electric vehicle

M Braband, M Scherer, H Voos - Electronics, 2022 - mdpi.com
Global warming forces the automotive industry to reduce real driving emissions and thus, its
CO2 footprint. Besides maximizing the individual efficiency of powertrain components, there …

Stochastic optimal control for autonomous driving applications via polynomial chaos expansions

P Listov, J Schwarz, CN Jones - Optimal Control Applications …, 2024 - Wiley Online Library
Abstract Model‐based methods in autonomous driving and advanced driving assistance
gain importance in research and development due to their potential to contribute to higher …

A risk-averse preview-based q-learning algorithm: Application to highway driving of autonomous vehicles

M Mazouchi, SP Nageshrao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
A risk-averse preview-based-learning planner is presented for navigation of autonomous
vehicles (AVs). To this end, the multilane road ahead of a vehicle is represented by a finite …

Stochastic model predictive control for eco-driving assistance systems in electric vehicles

SA Sajadi Alamdari - 2018 - orbilu.uni.lu
Electric vehicles are expected to become one of the key elements of future sustainable
transportation systems. The first generation of electric cars are already commercially …

Stochastic optimum energy management for advanced transportation network

SA Sajadi-Alamdari, H Voos, M Darouach - IFAC-PapersOnLine, 2018 - Elsevier
Smart and optimal energy consumption in electric vehicles has high potential to improve the
limited cruising range on a single battery charge. The proposed concept is a semi …

[引用][C] Stochastic model predictive control for eco-driving assistance systems in electric vehicles