1 citations · 1 across the 4 of their papers we have counts for
6 papers
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…
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…
Set-Theoretic Direct Data-driven Predictive Control
Mohammad Bajelani, Walter Lucia, Klaske van Heusden
Designing the terminal ingredients of direct data-driven predictive control presents challenges due to its reliance on an implicit, non-minimal input-output data-driven representat…
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…
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…
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.…