88 citations · 260 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
Robust Learning Model Predictive Control for Linear Systems Performing Iterative Tasks
Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli
A robust Learning Model Predictive Controller (LMPC) for uncertain systems performing iterative tasks is presented. At each iteration of the control task the closed-loop state, inp…
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…