28 citations · 44 across the 10 of their papers we have counts for
11 papers
Integrated Online Monitoring and Adaptation of Process Model Predictive Controllers
Samuel Mallick, Laura Boca de de Giuli, Alessio La Bella +3
This paper addresses the design of an event-triggered, data-based, and performance-oriented adaption method for model predictive control (MPC). The performance of such a strategy s…
Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
Samuel Mallick, Gianpietro Battocletti, Dimitris Boskos +2
Cooperative control of groups of autonomous vehicles (AVs), i.e., platoons, is a promising direction to improving the efficiency of autonomous transportation systems. In this conte…
Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models
Laura Boca de Giuli, Samuel Mallick, Alessio La Bella +3
This paper presents a model predictive control (MPC) framework leveraging an ensemble of data-based models to optimally control complex systems under multiple operating conditions.…
Second-Order MPC-Based Distributed Q-Learning
Samuel Mallick, Filippo Airaldi, Azita Dabiri +1
The state of the art for model predictive control (MPC)-based distributed Q-learning is limited to first-order gradient updates of the MPC parameterization. In general, using secon…
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear Selection
Samuel Mallick, Gianpietro Battocletti, Qizhang Dong +2
Co-optimization of both vehicle speed and gear position via model predictive control (MPC) has been shown to offer benefits for fuel-efficient autonomous driving. However, optimizi…
Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees
Samuel Mallick, Azita Dabiri, Bart De Schutter
Online model predictive control (MPC) for piecewise affine (PWA) systems requires the online solution to an optimization problem that implicitly optimizes over the switching sequen…
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
Samuel Mallick, Filippo Airaldi, Azita Dabiri +2
Greenhouse climate control is concerned with maximizing performance in terms of crop yield and resource efficiency. One promising approach is model predictive control (MPC), which…
Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
Samuel Mallick, Azita Dabiri, Bart De Schutter
This paper presents a novel approach for distributed model predictive control (MPC) for piecewise affine (PWA) systems. Existing approaches rely on solving mixed-integer optimizati…
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning
Samuel Mallick, Azita Dabiri, Bart De Schutter
Distributed model predictive control (MPC) is currently being investigated as a solution to the important control challenge presented by networks of hybrid dynamical systems. Howev…
Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
Samuel Mallick, Filippo Airaldi, Azita Dabiri +1
This paper presents a novel approach to multi-agent reinforcement learning (RL) for linear systems with convex polytopic constraints. Existing work on RL has demonstrated the use o…
Second-Order Coverage Control for Multi-Agent UAV Photogrammetry
Samuel Mallick, Airlie Chapman, Eric Schoof
Unmanned Aerial Vehicles equipped with cameras can be used to automate image capture for generating 3D models via photogrammetry. Current methods rely on a single vehicle to captur…