| A Time Delay Controller Included Terminal Sliding Mode and Fuzzy Gain Tuning for Underwater Vehicle-Manipulator Systems H N. Esfahani, V Azimirad, M Danesh Ocean Engineering 107, 97-107, 2015 | 71 | 2015 |
| High performance super-twisting sliding mode control for a maritime autonomous surface ship (MASS) using ADP-based adaptive gains and time delay estimation HN Esfahani, R Szlapczynski, H Ghaemi Ocean Engineering 191, 106526, 2019 | 32 | 2019 |
| Reinforcement learning based on scenario-tree MPC for ASVs AB Kordabad, HN Esfahani, AM Lekkas, S Gros 2021 American Control Conference (ACC), 1985-1990, 2021 | 30 | 2021 |
| MPC-based reinforcement learning for a simplified freight mission of autonomous surface vehicles W Cai, AB Kordabad, HN Esfahani, AM Lekkas, S Gros 2021 60th IEEE Conference on Decision and Control (CDC), 2990-2995, 2021 | 26 | 2021 |
| Reinforcement learning based on MPC/MHE for unmodeled and partially observable dynamics HN Esfahani, AB Kordabad, S Gros 2021 American Control Conference (ACC), 2121-2126, 2021 | 26 | 2021 |
| Model Predictive Super-Twisting Sliding Mode Control for An Autonomous Surface Vehicle H Nejatbakhsh Esfahani, R Szlapczynski Polish Maritime Research 26 (3), 163-171, 2019 | 20 | 2019 |
| Optimal management of the peak power penalty for smart grids using mpc-based reinforcement learning W Cai, HN Esfahani, AB Kordabad, S Gros 2021 60th IEEE Conference on Decision and Control (CDC), 6365-6370, 2021 | 15 | 2021 |
| Approximate Robust NMPC using Reinforcement Learning HN Esfahani, AB Kordabad, S Gros 2021 European Control Conference (ECC), 2021 | 14 | 2021 |
| Robust Model Predictive Control for Autonomous Underwater Vehicle–Manipulator System with Fuzzy Compensator H Nejatbakhsh Esfahani Polish Maritime Research 26 (2), 104-114, 2019 | 14 | 2019 |
| Robust-adaptive dynamic programming-based time-delay control of autonomous ships under stochastic disturbances using an actor-critic learning algorithm HN Esfahani, R Szlapczynski Journal of Marine Science and Technology 26 (4), 1262-1279, 2021 | 11 | 2021 |
| SLIDING MODE-PID FUZZY CONTROLLER WITH A NEW REACHING MODE FOR UNDERWATER ROBOTIC MANIPULATORS HN Esfahani, V Azimirad, M Zakeri Latin American Applied Research 44 (No. 3), 253-258, 2014 | 11* | 2014 |
| A New Fuzzy Sliding Mode Controller with PID Sliding Surface for Underwater Manipulators HN Esfahani, V Azimirad International Journal of Mechatronics, Electrical and Computer Technology 3 …, 2013 | 11 | 2013 |
| An optimal sliding mode control based on immune-wavelet algorithm for underwater robotic manipulator HN Esfahani, V Azimirad, A Eslami, S Asadi 2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-6, 2013 | 9 | 2013 |
| Policy gradient reinforcement learning for uncertain polytopic LPV systems based on MHE-MPC HN Esfahani, S Gros IFAC-PapersOnLine 55 (15), 1-6, 2022 | 8 | 2022 |
| Learning-based state estimation and control using MHE and MPC schemes with imperfect models HN Esfahani, AB Kordabad, W Cai, S Gros European Journal of Control 73, 100880, 2023 | 6 | 2023 |
| Quasi-Newton iteration in deterministic policy gradient AB Kordabad, HN Esfahani, W Cai, S Gros 2022 American Control Conference (ACC), 2124-2129, 2022 | 6 | 2022 |
| Bias Correction in Deterministic Policy Gradient Using Robust MPC AB Kordabad, HN Esfahani, S Gros 2021 European Control Conference (ECC), 2021 | 5 | 2021 |
| Reinforcement learning based on MPC/MHE for unmodeled and partially observable dynamics H Nejatbakhsh Esfahani, A Bahari Kordabad, S Gros arXiv e-prints, arXiv: 2103.11871, 2021 | 3 | 2021 |
| Reinforcement learning based on scenario-tree MPC for ASVs A Bahari Kordabad, H Nejatbakhsh Esfahani, AM Lekkas, S Gros arXiv e-prints, arXiv: 2103.11949, 2021 | 3 | 2021 |
| Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles HN Esfahani, B Aminian, EI Grøtli, S Gros 2021 20th International Conference on Advanced Robotics (ICAR), 682-687, 2021 | 2 | 2021 |
Sebastien GrosHead of Department, Eng. Cybernetics, NTNU在 ntnu.no 的电子邮件经过验证
