The path following of intelligent unmanned vehicle scheme based on adaptive sliding mode-model predictive control
S Zhang, A Shen, X Luo, Q Tang, Z Li - Journal of the Franklin Institute, 2023 - Elsevier
An adaptive sliding mode-model predictive control for the path following of intelligent
unmanned vehicle is given in this paper. On account of excellent performances of the sliding …
unmanned vehicle is given in this paper. On account of excellent performances of the sliding …
[HTML][HTML] A binary decision tree approach for pharmaceutical project portfolio management
M Farid, M Palmblad, H Hallman, J Vänngård - Decision Analytics Journal, 2023 - Elsevier
In pharmaceutical R&D, decision makers face a large portion of uncertainty in portfolio
decisions. Existing optimization tools are mostly based on expected values, ignoring …
decisions. Existing optimization tools are mostly based on expected values, ignoring …
Fast Collision Probability Estimation for Automated Driving using Multi-circular Shape Approximations
L Tolksdorf, C Birkner, A Tejada… - arXiv preprint arXiv …, 2024 - arxiv.org
Many state-of-the-art methods for safety assessment and motion planning for automated
driving require estimation of the probability of collision (POC). To estimate the POC, a shape …
driving require estimation of the probability of collision (POC). To estimate the POC, a shape …
Stochastic Model Predictive Control for Relative-Velocity Based Multimodal Risk Avoidance under a Vehicle Coming Scenarios
N Kawaguchi, K Hashimoto, I Okawa, K Nonaka - IFAC-PapersOnLine, 2023 - Elsevier
The present paper proposes a novel model predictive control (MPC) for generating vehicle
trajectories that can apply to environments in which multiple optimal trajectories exist. MPC …
trajectories that can apply to environments in which multiple optimal trajectories exist. MPC …