56 citations · 181 across the 28 of their papers we have counts for
17 papers · 1 filter
3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy
Martina Mammarella, Cesare Donati, Takumi Shimizu +7
In the last years, unmanned aerial vehicles are becoming a reality in the context of precision agriculture, mainly for monitoring, patrolling and remote sensing tasks, but also for…
Chance constrained sets approximation: A probabilistic scaling approach -- EXTENDED VERSION
Martina Mammarella, Victor Mirasierra, Matthias Lorenzen +2
In this paper, a sample-based procedure for obtaining simple and computable approximations of chance-constrained sets is proposed. The procedure allows to control the complexity of…
Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach
Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa +1
Interpersonal influence estimation from empirical data is a central challenge in the study of social structures and dynamics. Opinion dynamics theory is a young interdisciplinary s…
Computationally efficient stochastic MPC: a probabilistic scaling approach
Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene +1
In recent years, the increasing interest in Stochastic model predictive control (SMPC) schemes has highlighted the limitation arising from their inherent computational demand, whic…
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control
Martina Mammarella, Teodoro Alamo, Sergio Lucia +1
In this paper, we consider a stochastic Model Predictive Control able to account for effects of additive stochastic disturbance with unbounded support, and requiring no restrictive…
A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
In this paper a novel approach to co-design controller and attack detector for nonlinear cyber-physical systems affected by false data injection (FDI) attack is proposed. We augmen…
Identification of Switched Autoregressive and Switched Autoregressive Exogenous Systems from Large Noisy Data Sets
Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
The paper introduces novel methodologies for the identification of coefficients of switched autoregressive and switched autoregressive exogenous linear models. We consider cases wh…
Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping
Martina Mammarella, Elisa Capello, Fabrizio Dabbene
In this paper, a guidance and tracking control strategy for fixed-wing Unmanned Aerial Vehicle (UAV) autopilots is presented. The proposed control exploits recent results on sample…
Randomized opinion dynamics over networks: influence estimation from partial observations
Chiara Ravazzi, Sarah Hojjatinia, Constantino M. Lagoa +1
In this paper, we propose a technique for the estimation of the influence matrix in a sparse social network, in which individual communicate in a gossip way. At each step, a ra…
Identification of Switched Autoregressive Systems from Large Noisy Data Sets
Sarah Hojjatinia, Constantino M. Lagoa, Fabrizio Dabbene
The paper introduces a novel methodology for the identification of coefficients of switched autoregressive linear models. We consider the case when the system's outputs are contami…
An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers
Martina Mammarella, Matthias Lorenzen, Elisa Capello +5
In this paper, a sampling-based Stochastic Model Predictive Control algorithm is proposed for discrete-time linear systems subject to both parametric uncertainties and additive dis…
Stochastic MPC with Offline Uncertainty Sampling
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo +1
For discrete-time linear systems subject to parametric uncertainty described by random variables, we develop a sampling-based Stochastic Model Predictive Control algorithm. Unlike…
Constraint-Tightening and Stability in Stochastic Model Predictive Control
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo +1
Constraint tightening to non-conservatively guarantee recursive feasibility and stability in Stochastic Model Predictive Control is addressed. Stability and feasibility requirement…
Robust linear static anti-windup with probabilistic certificates
Simone Formentin, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we address robust static anti-windup compensator design and performance analysis for saturated linear closed loops in the presence of nonlinear probabilistic paramet…
Scenario optimization with certificates and applications to anti-windup design
Simone Formentin, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we introduce a significant extension, called scenario with certificates (SwC), of the so-called scenario approach for uncertain optimization problems. This extension…
Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty
Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo +2
In this paper, we propose new sequential randomized algorithms for convex optimization problems in the presence of uncertainty. A rigorous analysis of the theoretical properties of…
Probabilistic Optimal Estimation and Filtering under Uncertainty
Fabrizio Dabbene, Mario Sznaier, Roberto Tempo
The classical approach to system identification is based on stochastic assumptions about the measurement error, and provides estimates that have random nature. Worst-case identific…