activity
20242026
collaborators

20 papers

cond-mat.str-el2026

Periodicity-driven revision of the phase diagram of the generalized Baxter-Wu model with asymmetric complex couplings

Yuting Wang, Ye Ling, Haihong Li +1

The conventional self-dual lines of the generalized Baxter-Wu (GBW) model with asymmetric complex couplings are known to be , where and are the real…

eess.SY2026

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning

Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian +2

This paper proposes a safe data-driven control framework for nonlinear systems with partially known dynamics. The method ensures stability and constraint satisfaction during online…

eess.SY2026

Detectability of Subtle Anomalies in Dynamical Systems via Log-Likelihood Ratio

Alejandro Penacho Riveiros, Matthieu Barreau, Nicola Bastianello

Industrial control applications require detecting system anomalies as accurately and quickly as possible to enable prompt maintenance. In this context, it is common to consider sev…

eess.SY2026

Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes

Alejandro Penacho Riveiros, Nicola Bastianello, Matthieu Barreau

In this paper we address the problem of detecting differences or anomalies in a dynamical system, based on historical data of nominal operations. This problem encompasses quality c…

eess.SY2026

Distributed State Estimation for Discrete-Time Systems With Unknown Inputs: An Optimization Approach

Ruixuan Zhao, Guitao Yang, Nicola Bastianello +1

This paper proposes a novel Distributed Unknown Input Observer (DUIO) framework for state estimation in large-scale systems subject to local unknown inputs. We consider systems whe…

eess.SY2026

Physics-Informed Detection of Friction Anomalies in Satellite Reaction Wheels

Alejandro Penacho Riveiros, Nicola Bastianello, Karl H. Johansson +1

As the number of satellites in orbit has increased exponentially in recent years, ensuring their correct functionality has started to require automated methods to decrease human wo…