5 citations · 5 across the 11 of their papers we have counts for
7 papers · 1 filter
Koopman Lifted Finite Memory Identification via Truncated Grunwald Letnikov Kernels
Navid Mojahed, Mahdis Rabbani, Shima Nazari
We propose a data-driven linear modeling framework for controlled nonlinear hereditary systems that combines Koopman lifting with a truncated Grunwald-Letnikov memory term. The key…
Fleet Size and Mix Capacitated Vehicle Routing Problem with Time Windows for Mobile Fast Chargers
Farhang Motallebi Araghi, Armin Abdolmohammadi, Navid Mojahed +1
The electrification of off-road heavy equipment presents operational challenges for agencies serving remote sites with limited fixed charging infrastructure. Existing mobile fast c…
Predictive Compensation in Finite-Horizon LQ Games under Gauss-Markov Deviations
Navid Mojahed, Mahdis Rabbani, Shima Nazari
This paper develops a predictive compensation framework for finite-horizon, discrete-time linear quadratic dynamic games subject to Gauss-Markov execution deviations from feedback…
Optimal Path Planning for Wheel Loader Automation Enabled by Efficient Soil-Tool Interaction Modeling
Armin Abdolmohammadi, Navid Mojahed, Bahram Ravani +1
Earthmoving operations with wheel loaders require substantial power and incur high operational costs. This work presents an efficient automation framework based on the Fundamental…
Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
Mohammad Abtahi, Farhang Motallebi Araghi, Navid Mojahed +1
Accurate modeling and control of autonomous vehicles remain a fundamental challenge due to the nonlinear and coupled nature of vehicle dynamics. While Koopman operator theory offer…
Data-Efficient Excavation Force Estimation for Wheel Loaders
Armin Abdolmohammadi, Navid Mojahed, Shima Nazari +1
Accurate prediction of excavation forces is critical for enabling autonomous operation and optimizing control strategies in earthmoving machinery. Conventional approaches often dep…