5 papers · 1 filter
Data-Driven Multi-Modal Learning Model Predictive Control
Fionna B. Kopp, Francesco Borrelli
We present a Learning Model Predictive Controller (LMPC) for multi-modal systems performing iterative control tasks. Assuming availability of historical data, our goal is to design…
Multi-Objective Learning Model Predictive Control
Siddharth H. Nair, Charlott Vallon, Francesco Borrelli
Multi-Objective Learning Model Predictive Control is a novel data-driven control scheme which improves a linear system's closed-loop performance with respect to several convex cont…
Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems
Charlott Vallon, Alessandro Pinto, Bartolomeo Stellato +1
This paper introduces a novel data-driven hierarchical control scheme for managing a fleet of nonlinear, capacity-constrained autonomous agents in an iterative environment. We prop…
Clustering Heuristics for Robust Energy Capacitated Vehicle Routing Problem (ECVRP)
Mark Pustilnik, Francesco Borrelli
The paper presents an approach to solving the Robust Energy Capacitated Vehicle Routing Problem (RECVRP), focusing on electric vehicles and their limited battery capacity. A finite…
Learning Hierarchical Control Systems for Autonomous Systems with Energy Constraints
Charlott Vallon, Mark Pustilnik, Alessandro Pinto +1
This paper focuses on the design of hierarchical control architectures for autonomous systems with energy constraints. We focus on systems where energy storage limitations and slow…