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

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

collaborators

6 papers

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-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…

eess.SY20263 cited

A Physics-Informed Scenario Approach with Data Mitigation for Safety Verification of Nonlinear Systems

Ali Aminzadeh, MohammadHossein Ashoori, Amy Nejati +1

This paper develops a physics-informed scenario approach for safety verification of nonlinear systems using barrier certificates (BCs) to ensure that system trajectories remain wit…

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

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…