7 citations · 7 across the 9 of their papers we have counts for
4 papers · 1 filter
Increasing Electric Vehicles Utilization in Transit Fleets using Learning, Predictions, Optimization, and Automation
Jacopo Guanetti, Yeojun Kim, Xu Shen +4
This work presents a novel hierarchical approach to increase Battery Electric Buses (BEBs) utilization in transit fleets. The proposed approach relies on three key components. A le…
Learning for Online Mixed-Integer Model Predictive Control with Parametric Optimality Certificates
Luigi Russo, Siddharth H. Nair, Luigi Glielmo +1
We propose a supervised learning framework for computing solutions of multi-parametric Mixed Integer Linear Programs (MILPs) that arise in Model Predictive Control. Our approach al…
Robust Output-Lifted Learning Model Predictive Control
Siddharth H. Nair, Francesco Borrelli
We propose an iterative approach for designing Robust Learning Model Predictive Control (LMPC) policies for a class of nonlinear systems with additive, unmodelled dynamics. The nom…
Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions
Siddharth H. Nair, Vijay Govindarajan, Theresa Lin +3
We propose a Stochastic MPC (SMPC) approach for autonomous driving which incorporates multi-modal, interaction-aware predictions of surrounding vehicles. For each mode, vehicle mot…