54 citations · 181 across the 20 of their papers we have counts for
10 papers · 1 filter
Data-Driven Robust Predictive Control with Interval Matrix Uncertainty Propagation
Renato Quartullo, Andrea Garulli, Mirko Leomanni
This paper presents a new data-driven robust predictive control law, for linear systems affected by unknown-but-bounded process disturbances. A sequence of input-state data is used…
Robust Model Predictive Control for Linear Systems with Interval Matrix Model Uncertainty
Renato Quartullo, Andrea Garulli, Mirko Leomanni
This paper proposes a novel robust Model Predictive Control (MPC) scheme for linear discrete-time systems affected by model uncertainty described by interval matrices. The key feat…
Time-Optimal Model Predictive Control for Linear Systems with Multiplicative Uncertainties
Renato Quartullo, Andrea Garulli, Mirko Leomanni
This paper presents a time-optimal Model Predictive Control (MPC) scheme for linear discrete-time systems subject to multiplicative uncertainties represented by interval matrices.…
Robust Variable-Horizon MPC with Adaptive Terminal Constraints
Renato Quartullo, Gianni Bianchini, Andrea Garulli +1
This paper presents a novel robust variable-horizon model predictive control scheme designed to intercept a target moving along a known trajectory, in finite time. Linear discrete-…
A Family of Switching Pursuit Strategies for a Multi-Pursuer Single-Evader Game
Marco Casini, Andrea Garulli
This paper introduces a new family of pursuit strategies for multi-pursuer single-evader games in a planar environment. They leverage conditions under which the minimum-time soluti…
Adaptive Threshold Selection for Set Membership State Estimation with Quantized Measurements
Marco Casini, Andrea Garulli, Antonio Vicino
State estimation for discrete-time linear systems with quantized measurements is addressed. By exploiting the set-theoretic nature of the information provided by the quantizer, the…
Learning-based Parameter Optimization for a Class of Orbital Tracking Control Laws
Gianni Bianchini, Andrea Garulli, Antonio Giannitrapani +2
This paper presents a machine learning approach for tuning the parameters of a family of stabilizing controllers for orbital tracking. An augmented random search algorithm is deplo…
Variable-Horizon Guidance for Autonomous Rendezvous and Docking to a Tumbling Target
Mirko Leomanni, Renato Quartullo, Gianni Bianchini +2
In this paper, the trajectory planning problem for autonomous rendezvous and docking between a controlled spacecraft and a tumbling target is addressed. The use of a variable plann…
Satellite Relative Motion Modeling and Estimation via Nodal Elements
Mirko Leomanni, Andrea Garulli, Antonio Giannitrapani +1
In this paper, a new parametrization of the relative motion between two satellites orbiting a central body is presented. The parametrization is based on the nodal elements: a set o…
An Adaptive Groundtrack Maintenance Scheme for Spacecraft with Electric Propulsion
Mirko Leomanni, Andrea Garulli, Antonio Giannitrapani +1
In this paper, the repeat-groundtrack orbit maintenance problem is addressed for spacecraft driven by electric propulsion. An adaptive solution is proposed, which combines an hyste…