Haimin Hu
Title
Cited by
Cited by
Year
Learning control barrier functions from expert demonstrations
A Robey, H Hu, L Lindemann, H Zhang, DV Dimarogonas, S Tu, N Matni
2020 59th IEEE Conference on Decision and Control (CDC), 3717-3724, 2020
142020
Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles
H Hu, Y Pu, M Chen, CJ Tomlin
Decision and Control (CDC), 2018 IEEE 57th Annual Conference on, 2803-2809, 2018
142018
Real-time tube MPC applied to a 10-state quadrotor model
H Hu, X Feng, R Quirynen, ME Villanueva, B Houska
2018 Annual American Control Conference (ACC), 3135-3140, 2018
92018
Reach-sdp: Reachability analysis of closed-loop systems with neural network controllers via semidefinite programming
H Hu, M Fazlyab, M Morari, GJ Pappas
2020 59th IEEE Conference on Decision and Control (CDC), 5929-5934, 2020
72020
Learning hybrid control barrier functions from data
L Lindemann, H Hu, A Robey, H Zhang, DV Dimarogonas, S Tu, N Matni
arXiv preprint arXiv:2011.04112, 2020
42020
FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking
M Chen, S Herbert, H Hu, Y Pu, JF Fisac, S Bansal, SJ Han, CJ Tomlin
IEEE Transactions on Automatic Control, 2021
32021
Min-max differential inequalities for polytopic tube MPC
X Feng, H Hu, ME Villanueva, B Houska
2019 American Control Conference (ACC), 1170-1174, 2019
22019
Tuning communication latency for distributed model predictive control
H Hu, K Gatsis, M Morari, GJ Pappas
IFAC-PapersOnLine 52 (20), 279-284, 2019
22019
Non-Cooperative Distributed MPC with Iterative Learning
H Hu, K Gatsis, M Morari, GJ Pappas
IFAC-PapersOnLine 53 (2), 5225-5232, 2020
2020
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