activity
20182022
most citedTube-enhanced Multi-stage MPC for Flexible Robust Control of Constrained Linear Systems with Additive and Parametric Uncertainties

21 citations · 26 across the 5 of their papers we have counts for

collaborators

12 papers

eess.SY2022

On the Practical Design of Tube-Enhanced Multi-Stage Nonlinear Model Predictive Control

Sankaranarayanan Subramanian, Yehia Abdelsalam, Sergio Lucia +1

Tube-enhanced multi-stage nonlinear model predictive control is a robust control scheme that can handle a wide range of uncertainties with reduced conservatism and manageable compu…

math.OC2021

Teaching MPC: Which Way to the Promised Land?

Timm Faulwasser, Sergio Lucia, Moritz Schulze Darup +1

Since the earliest conceptualizations by Lee and Markus, and Propoi in the 1960s, Model Predictive Control (MPC) has become a major success story of systems and control with respec…

eess.SY2021

A Polynomial Chaos Approach to Robust Static Output-Feedback Control with Bounded Truncation Error

Yiming Wan, Dongying E. Shen, Sergio Lucia +2

This article considers the static output-feedback control for linear time-invariant uncertain systems with polynomial dependence on probabilistic time-invarian…

eess.SY202021 cited

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…

eess.SY20201 cited

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…

eess.SY2020

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…