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20242026
most citedA Physics-Informed Scenario Approach with Data Mitigation for Safety Verification of Nonlinear Systems

3 citations · 3 across the 14 of their papers we have counts for

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eess.SY2026

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

Behrad Samari, Alessandro Abate, Antoine Girard +3

Data-driven approaches with formal guarantees have recently emerged as a powerful means for the verification and controller synthesis of complex dynamical systems. Interest in thes…

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 Global Stabilization of Unknown Infinite Networks

Mahdieh Zaker, Andrii Mironchenko, Amy Nejati +1

This paper develops a direct data-driven framework for infinite networks with unknown nonlinear polynomial subsystems, enabling the synthesis of controllers that ensure the entire…

eess.SY2026

Safety Controller Synthesis for Stochastic Polynomial Time-Delayed Systems

Omid Akbarzadeh, MohammadHossein Ashoori, Amy Nejati +1

This work develops a theoretical framework for safety controller synthesis in discrete-time stochastic nonlinear polynomial systems subject to time-invariant delays (dt-SNPS-td). W…

eess.SY2026

A Data-Driven Krasovskii-Based Approach for Safety Controller Design of Time-Delayed Uncertain Polynomial Systems

Omid Akbarzadeh, MohammadHossein Ashoori, Amy Nejati +1

We develop a data-driven framework for the synthesis of robust Krasovskii control barrier certificates (RK-CBC) and corresponding robust safety controllers (R-SC) for discrete-time…