310 citations · 568 across the 17 of their papers we have counts for
8 papers · 1 filter
Tube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties
Sankaranarayanan Subramanian, Sergio Lucia, Radoslav Paulen +1
The trade-off between optimality and complexity has been one of the most important challenges in the field of robust Model Predictive Control (MPC). To address the challenge, we pr…
On the relationship between data-enabled predictive control and subspace predictive control
Felix Fiedler, Sergio Lucia
Data-enabled predictive control (DeePC) is a recently proposed approach that combines system identification, estimation and control in a single optimization problem, for which only…
A Hierarchical Attack Identification Method for Nonlinear Systems
Sarah Braun, Sebastian Albrecht, Sergio Lucia
Many autonomous control systems are frequently exposed to attacks, so methods for attack identification are crucial for a safe operation. To preserve the privacy of the subsystems…
Sensor Artificial Intelligence and its Application to Space Systems -- A White Paper
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao +15
Information and communication technologies have accompanied our everyday life for years. A steadily increasing number of computers, cameras, mobile devices, etc. generate more and…
PredicTor: Predictive Congestion Control for the Tor Network
Felix Fiedler, Christoph Döpmann, Florian Tschorsch +1
In the Tor network, anonymity is achieved through a multi-layered architecture, which comes at the cost of a complex network. Scheduling data in this network is a challenging task…
Stability and feasibility of neural network-based controllers via output range analysis
Benjamin Karg, Sergio Lucia
Neural networks can be used as approximations of several complex control schemes such as model predictive control. We show in this paper which properties deep neural networks with…
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…
Sparse Magnetometer-free Inertial Motion Tracking -- A Condition for Observability in Double Hinge Joint Systems
Karsten Eckhoff, Manon Kok, Sergio Lucia +1
Inertial measurement units are commonly used in a growing number of application fields to track or capture motions of kinematic chains, such as human limbs, exoskeletons or robotic…