3 papers
eess.SY2026
GA-Agent: Large Language Models as Hyperparameter Optimizers for Evolutionary Controller Synthesis
Mohammad Narimani, Seyyed Ali Emami
Tuning PID controllers to satisfy competing objectives - low tracking error, fast settling, limited overshoot, and moderate control effort - is labor-intensive and requires experti…
cs.LG2025
FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection
Sina Najafi, Mostafa Tavassolipour, Mohammad Hasan Narimani
Federated learning (FL) enables collaborative model training without centralizing data, but exchanging high-dimensional updates can expose sensitive information and incur substanti…
eess.SY2025
AgenticControl: An Automated Control Design Framework Using Large Language Models
Mohammad Narimani, Seyyed Ali Emami
Traditional control system design, reliant on expert knowledge and precise models, struggles with complex, nonlinear, or uncertain dynamics. This paper introduces AgenticControl, a…