activity
20232026
most citedA Modular Safety Filter for Safety-Certified Cyber-Physical Systems

2 citations · 4 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SY2026

Distributionally Robust Frequency Response Estimation Using Non-Steady-State Frequency-Domain Data

Stefan Damjanovic, John W. Simpson-Porco, Klaske van Heusden

This paper develops a distributionally robust optimization (DRO) framework for identifying the frequency response function (FRF) of an unknown linear time-invariant system from rep…

cs.AI2026

Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data

Mobina Mobaraki, Mahyar Asadi, Klaske Van Heusden +1

Deep learning is an efficient technique to monitor the real time welding process, reducing post-welding repairs and production delays. This paper leverages the monitoring capabilit…

eess.SY2026

Robust Direct Data-Driven Hamiltonian for Safe Set Computation under Measurement Noise and Disturbances

Mohammad Bajelani, Christopher A. Strong, Claire J. Tomlin +2

Safe set computation is a fundamental challenge in safety-critical control systems, especially in direct data-driven settings where safety analysis is performed directly from noise…

eess.SY2025

Data-Driven Input-Output Control Barrier Functions

Mohammad Bajelani, Klaske van Heusden

Control Barrier Functions (CBFs) offer a framework for ensuring set invariance and designing constrained control laws. However, crafting a valid CBF relies on system-specific assum…

eess.SY2024

Towards Indirect Data-Driven Predictive Control for Heating Phase of Thermoforming Process

Hadi Hosseinionari, Mohammad Bajelani, Klaske van Heusden +2

Shaping thermoplastic sheets into three-dimensional products is challenging since overheating results in failed manufactured parts and wasted material. To this end, we propose an i…

eess.SY2024★ 1 cited

From Raw Data to Safety: Reducing Conservatism by Set Expansion

Mohammad Bajelani, Klaske van Heusden

In response to safety concerns associated with learning-based algorithms, safety filters have been proposed as a modular technique. Generally, these filters heavily rely on the sys…

eess.SY2024★ 2 cited

A Modular Safety Filter for Safety-Certified Cyber-Physical Systems

Mohammad Bajelani, Mehran Attar, Walter Lucia +1

Nowadays, many control systems are networked and embed communication and computation capabilities. Such control architectures are prone to cyber attacks on the cyberinfrastructure.…

eess.SY2023★ 1 cited

Data-Driven Safety Filter: An Input-Output Perspective

Mohammad Bajelani, Klaske van Heusden

Implementation of learning-based control remains challenging due to the absence of safety guarantees. Safe control methods have turned to model-based safety filters to address thes…