7 citations · 15 across the 3 of their papers we have counts for
6 papers
Formation and Reconfiguration of Tight Multi-Lane Platoons
Roya Firoozi, Xiaojing Zhang, Francesco Borrelli
Advances in vehicular communication technologies are expected to facilitate cooperative driving. Connected and Automated Vehicles (CAVs) are able to collaboratively plan and execut…
Near-Optimal Rapid MPC using Neural Networks: A Primal-Dual Policy Learning Framework
Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli
In this paper, we propose a novel framework for approximating the explicit MPC policy for linear parameter-varying systems using supervised learning. Our learning scheme guarantees…
Autonomous Parking of Vehicle Fleet in Tight Environments
Xu Shen, Xiaojing Zhang, Francesco Borrelli
The problem of autonomous parking of vehicle fleets is addressed in this paper. We present a system-level modeling and control framework which allows investigating different vehicl…
Adaptive MPC under Time Varying Uncertainty: Robust and Stochastic
Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic +1
This paper deals with the problem of formulating an adaptive Model Predictive Control strategy for constrained uncertain systems. We consider a linear system, in presence of bounde…
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks
Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli
In this paper, we propose a novel framework for approximating the explicit MPC law for linear parameter-varying systems using supervised learning. In contrast to most existing appr…
Robust Model Predictive Control with Adjustable Uncertainty Sets
Yeojun Kim, Xiaojing Zhang, Jacopo Guanetti +1
In this paper, we present Robust Model Predictive Control (MPC) problems with adjustable uncertainty sets. In contrast to standard Robust MPC problems with known uncertainty sets,…