1.2k citations · 1.7k across the 52 of their papers we have counts for
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An active learning method for solving competitive multi-agent decision-making and control problems
Filippo Fabiani, Alberto Bemporad
To identify a stationary action profile for a population of competitive agents, each executing private strategies, we introduce a novel active-learning scheme where a centralized e…
Learning Critical Scenarios in Feedback Control Systems for Automated Driving
Mengjia Zhu, Alberto Bemporad, Maximilian Kneissl +1
Testing is essential for verifying and validating control designs, especially in safety-critical applications. In particular, the control system governing an automated driving vehi…
A construction-free coordinate-descent augmented-Lagrangian method for embedded linear MPC based on ARX models
Liang Wu, Alberto Bemporad
This paper proposes a construction-free algorithm for solving linear MPC problems based on autoregressive with exogenous terms (ARX) input-output models. The solution algorithm rel…
Active Learning for Regression by Inverse Distance Weighting
Alberto Bemporad
This paper proposes an active learning (AL) algorithm to solve regression problems based on inverse-distance weighting functions for selecting the feature vectors to query. The alg…
Efficiently solving the harmonic model predictive control formulation
Pablo Krupa, Daniel Limon, Alberto Bemporad +1
Harmonic model predictive control (HMPC) is a model predictive control (MPC) formulation which displays several benefits over other MPC formulations, especially when using a small…