Model-Free μ Synthesis via Adversarial Reinforcement Learning. - Darioush Keivan; Aaron J. Havens; Peter Seiler 001; Geir E. Dullerud; Bin Hu 002 (ACC, 2022)

Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control. - Aaron J. Havens; Darioush Keivan; Peter Seiler 001; Geir E. Dullerud; Bin Hu 002 (CoRR, 2022)

Complexity of Derivative-Free Policy Optimization for Structured H∞ Control. - Xingang Guo; Darioush Keivan; Geir E. Dullerud; Peter J. Seiler; Bin Hu 002 (NeurIPS, 2023)

Revisiting PGD Attacks for Stability Analysis of High-Dimensional Nonlinear Systems and Perception-Based Control. - Aaron J. Havens; Darioush Keivan; Peter J. Seiler; Geir E. Dullerud; Bin Hu 002 (IEEE Control. Syst. Lett., 2023)

A Case Study on the Convergence of Direct Policy Search for Linear Quadratic Gaussian Control. - Darioush Keivan; Peter J. Seiler; Geir E. Dullerud; Bin Hu 002 (ACC, 2024)

Model-Free μ-Synthesis: A Nonsmooth Optimization Perspective. - Darioush Keivan; Xingang Guo; Peter J. Seiler; Geir E. Dullerud; Bin Hu 002 (CoRR, 2024)

ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise. - Xingang Guo; Darioush Keivan; Usman Syed; Lianhui Qin; Huan Zhang; Geir E. Dullerud; Peter J. Seiler; Bin Hu 002 (CoRR, 2024)