3 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
Learning Families of Fixed-Wing Aircraft Control Policies with Hypernetwork-Conditioned Reinforcement Learning
Dennis Marquis, Mazen Farhood
This paper investigates whether it is more effective to condition reinforcement learning policies across changing dynamics using standard input augmentation or hypernetwork-based p…
Robust Control Design and Analysis Based on Lifting Linearization of Nonlinear Systems Under Uncertain Initial Conditions
Sourav Sinha, Mazen Farhood
This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning-based lifting approach is prop…
Formally Proving Invariant Systemic Properties of Control Programs Using Ghost Code and Integral Quadratic Constraints
Elias Khalife, Pierre-Loic Garoche, Mazen Farhood
This paper focuses on formally verifying invariant properties of control programs both at the model and code levels. The physical process is described by an uncertain discrete-time…
Data-Driven Discrepancy Modeling in Higher-Dimensional State Space via Coprime Factorization
Sourav Sinha, Mazen Farhood
This work provides a data-driven framework that combines coprime factorization with a lifting linearization technique to model the discrepancy between a nonlinear system and its no…
LFT Representation of a Class of Nonlinear Systems: A Data-Driven Approach
Sourav Sinha, Devaprakash Muniraj, Mazen Farhood
This paper focuses on developing a method to obtain an uncertain linear fractional transformation (LFT) system that adequately captures the dynamics of a nonlinear time-invariant s…