9 papers
A Data Driven Structural Decomposition of Dynamic Games via Best Response Maps
Mahdis Rabbani, Navid Mojahed, Shima Nazari
Dynamic games are powerful tools to model multi-agent decision-making, yet computing Nash (generalized Nash) equilibria remains a central challenge in such settings. Complexity ari…
Fractional Calculus in Optimal Control and Game Theory: Theory, Numerics, and Applications -- A Survey
Navid Mojahed, Hooman Fatoorehchi, Shima Nazari
Many physical, biological, and engineered systems exhibit memory effects that challenge Markovian models. Fractional calculus provides nonlocal operators to capture hereditary dyna…
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…
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…
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…