works on

From the 1 of 33 linked papers with an AI index.

activity
20242026
collaborators

33 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

Safe Packetized Control for Stochastic Constrained Networked Systems

Omid Akbarzadeh, MohammadHossein Ashoori, Mohammad H. Mamduhi +1

This work develops a formal framework for the synthesis of packetized safety controllers for discrete-time polynomial stochastic networked control systems (dt-PSNCS) operating unde…

eess.SY2026

Data-Driven Stabilizing Controller Design for Linear Infinite Networks

Mahdieh Zaker, Andrii Mironchenko, Amy Nejati +1

We propose a direct data-driven method for controller synthesis of infinite networks composed of unknown linear time-invariant subsystems. Using a single set of noise-corrupted inp…

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

Data-Driven Stochastic Control: Foundations and Guarantees

Abolfazl Lavaei

This work establishes a step forward in advancing data-driven trajectory-based methods for stochastic systems with unknown mathematical dynamics. In contrast to scenario-based appr…

eess.SY2026

Data-Efficient Control of Polynomial Systems via Physics-Guided Quadratic Constraints

MohammadHossein Ashoori, Ali Aminzadeh, Amy Nejati +1

This work addresses the critical challenge of guaranteeing safety for complex dynamical systems where precise mathematical models are uncertain and data measurements are corrupted…