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20242026
most citedFrom a Single Trajectory to Safety Controller Synthesis of Discrete-Time Nonlinear Polynomial Systems

1 citations · 1 across the 5 of their papers we have counts for

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7 papers

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…

eess.SY2025

From Formal Methods to Data-Driven Safety Certificates of Unknown Large-Scale Networks

Omid Akbarzadeh, Behrad Samari, Amy Nejati +1

In this work, we propose a data-driven scheme within a compositional framework with noisy data to design robust safety controllers in a fully decentralized fashion for large-scale…

eess.SY2025

Safety Controller Synthesis for Stochastic Networked Systems under Communication Constraints

Omid Akbarzadeh, Mohammad H. Mamduhi, Abolfazl Lavaei

This paper develops a framework for synthesizing safety controllers for discrete-time stochastic linear control systems (dt-SLS) operating under communication imperfections. The co…

cs.LO2025

ARCH-COMP25 Category Report: Stochastic Models

Alessandro Abate, Omid Akbarzadeh, Henk A. P. Blom +14

This report is concerned with a friendly competition for formal verification and policy synthesis of stochastic models. The main goal of the report is to introduce new benchmarks a…

eess.SY2024

Learning Robust Safety Controllers for Uncertain Input-Affine Polynomial Systems

Omid Akbarzadeh, MohammadHossein Ashoori, Abolfazl Lavaei

This paper offers a direct data-driven approach for learning robust control barrier certificates (R-CBCs) and robust safety controllers (R-SCs) for discrete-time input-affine polyn…