4 citations · 4 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
Optimal Modified Feedback Strategies in LQ Games under Control Imperfections
Mahdis Rabbani, Navid Mojahed, Shima Nazari
Game-theoretic approaches and Nash equilibrium have been widely applied across various engineering domains. However, practical challenges such as disturbances, delays, and actuator…