collaborators

11 papers

eess.SY2026

Data-Driven Formal Methods for Complex Dynamical Systems: A Survey

Behrad Samari, Alessandro Abate, Antoine Girard +3

The paper surveys recent data‑driven techniques that provide formal verification and controller synthesis guarantees for complex deterministic and stochastic dynamical systems with…

eess.SY2026

Data-Driven Adaptive Second-Order Sliding Mode Control with Noisy Data

Behrad Samari, Gian Paolo Incremona, Antonella Ferrara +1

This paper proposes a data-driven approach to designing adaptive suboptimal second-order sliding mode (ASSOSM) controllers for a class of single-input nonlinear systems with partia…

eess.SY2026

Compositional Design of Safety Controllers for Large-Scale Stochastic Hybrid Systems

Mahdieh Zaker, Omid Akbarzadeh, Behrad Samari +1

In this work, we propose a compositional scheme based on small-gain reasoning to synthesize safety controllers for interconnected stochastic hybrid systems. In our proposed setting…

eess.SY2026

From Noisy Data to Hierarchical Control: A Model-Order-Reduction Framework

Behrad Samari, Henrik Sandberg, Karl H. Johansson +1

This paper develops a direct data-driven framework for constructing reduced-order models (ROMs) of discrete-time linear dynamical systems with unknown dynamics and process disturba…

eess.SY2026

Data-Driven Model Order Reduction of Nonlinear Systems with Noisy Data

Behrad Samari, Henrik Sandberg, Karl H. Johansson +1

Model order reduction techniques simplify high-dimensional dynamical systems by deriving lower-dimensional models that retain essential system characteristics. These techniques are…

eess.SY2026

Data-Driven Control of Large-Scale Networks with Formal Guarantees: A Small-Gain Free Approach

Behrad Samari, Amy Nejati, Abolfazl Lavaei

This paper offers a data-driven divide-and-conquer strategy to analyze large-scale interconnected networks, characterized by both unknown mathematical models and interconnection to…