Capabilities of large language models in control engineering: A benchmark study on gpt-4, claude 3 opus, and gemini 1.0 ultra D Kevian, U Syed, X Guo, A Havens, G Dullerud, P Seiler, L Qin, B Hu
arXiv preprint arXiv:2404.03647, 2024
30 2024 Rate-independent linear damping for the improved seismic performance of inter-story isolated structures A Keivan, R Zhang, D Keivan, BM Phillips, M Ikenaga, K Ikago
Journal of Earthquake Engineering 26 (2), 793-816, 2022
22 2022 Model-free μ synthesis via adversarial reinforcement learning D Keivan, A Havens, P Seiler, G Dullerud, B Hu
2022 American Control Conference (ACC), 3335-3341, 2022
8 2022 Revisiting pgd attacks for stability analysis of large-scale nonlinear systems and perception-based control A Havens, D Keivan, P Seiler, G Dullerud, B Hu
arXiv preprint arXiv:2201.00801, 2022
6 2022 Complexity of Derivative-Free Policy Optimization for Structured X Guo, D Keivan, G Dullerud, P Seiler, B Hu
Advances in Neural Information Processing Systems 36, 2024
5 2024 ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise X Guo, D Keivan, U Syed, L Qin, H Zhang, G Dullerud, P Seiler, B Hu
arXiv preprint arXiv:2410.19811, 2024
2024 A Case Study on the Convergence of Direct Policy Search for Linear Quadratic Gaussian Control D Keivan, P Seiler, G Dullerud, H Bin
2024 American Control Conference (ACC), 3710-3715, 2024
2024 Model-Free D Keivan, X Guo, P Seiler, G Dullerud, B Hu
arXiv preprint arXiv:2402.11654, 2024
2024 Complexity of derivative-free policy optimization for structured ℌ∞ control X Guo, D Keivan, G Dullerud, P Seiler, B Hu
Proceedings of the 37th International Conference on Neural Information …, 2023
2023 
Peter Seiler JrUniversity of Michigan, Ann ArborEmail yang diverifikasi di umich.edu