activity
20162026
most citedTowards Distributed OPF using ALADIN

104 citations · 134 across the 33 of their papers we have counts for

collaborators

38 papers

eess.SY2026

On Piecewise Quadratic Terminal Costs for MPC

Sampath Kumar Mulagaleti, Boris Houska, Mario Zanon +1

This paper presents a novel approach to synthesize stabilizing termi- nal ingredients for linear model predictive control (MPC) schemes, with the aim of increasing the region of at…

math.NA2026

Relaxation via Separable Estimators: Arithmetic and Implementation

Yanlin Zha, Mario Eduardo Villanueva, Boris Houska +1

This article presents an arithmetic, called superposition relaxation, for bracketing the graph of a multivariate factorable function on a compact domain between a pair of underesti…

eess.SY2025

Configuration-Constrained Tube MPC for Periodic Operation

Filippo Badalamenti, Jose A. Borja-Conde, Sampath Kumar Mulagaleti +3

Periodic operation often emerges as the economically optimal mode in industrial processes, particularly under varying economic or environmental conditions. This paper proposes a ro…

math.OC2025

Feedback Synthesis for Nonlinear Systems Via Convex Control Lyapunov Functions

Mario Eduardo Villanueva, Juraj Oravec, Radoslav Paulen +1

This paper introduces computationally efficient methods for synthesizing explicit piecewise affine (PWA) feedback laws for nonlinear discrete-time systems, ensuring robustness and…

eess.SY2025★ 1 cited

Efficient Configuration-Constrained Tube MPC via Variables Restriction and Template Selection

Filippo Badalamenti, Sampath Kumar Mulagaleti, Mario Eduardo Villanueva +2

Configuration-Constrained Tube Model Predictive Control (CCTMPC) offers flexibility by using a polytopic parameterization of invariant sets and the optimization of an associated ve…

math.OC2025

Control Lyapunov Function Design via Configuration-Constrained Polyhedral Computing

Boris Houska, Matthias A. Müller, Mario E. Villanueva

This paper proposes novel approaches for designing control Lyapunov functions (CLFs) for constrained linear systems. We leverage recent configuration-constrained polyhedral computi…