4 citations · 4 across the 5 of their papers we have counts for
5 papers
Efficient Optimal Path Planning in Dynamic Environments Using Koopman MPC
Mohammad Abtahi, Navid Mojahed, Shima Nazari
This paper presents a data-driven model predictive control framework for mobile robots navigating in dynamic environments, leveraging Koopman operator theory. Unlike the convention…
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…
Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
Mohammad Abtahi, Mahdis Rabbani, Armin Abdolmohammadi +1
The highly nonlinear dynamics of vehicles present a major challenge for the practical implementation of optimal and Model Predictive Control (MPC) approaches in path planning and f…
Powertrain Hybridization for Autonomous Vehicles
Shima Nazari, Norma Gowans, Mohammad Abtahi
The powertrains of today's hybrid electric vehicles (HEVs) are developed for human drivers and, therefore, may not be the optimum choice for future Autonomous vehicles (AVs), given…
An Automatic Tuning MPC with Application to Ecological Cruise Control
Mohammad Abtahi, Mahdis Rabbani, Shima Nazari
Model predictive control (MPC) is a powerful tool for planning and controlling dynamical systems due to its capacity for handling constraints and taking advantage of preview inform…