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2020 – today
- 2024
[j8]Tohid Sardarmehni, Xingyong Song
:
Region-based approximation in approximate dynamic programming. Int. J. Control 97(2): 306-315 (2024)- 2023
- [j7]Tohid Sardarmehni, Xingyong Song:
Optimal Tracking in Switched Systems With Free Final Time and Fixed Mode Sequence Using Approximate Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3460-3472 (2023) - [j6]Tohid Sardarmehni, Xingyong Song:
Path Planning and Energy Optimization in Optimal Control of Autonomous Wheel Loaders Using Reinforcement Learning. IEEE Trans. Veh. Technol. 72(8): 9821-9834 (2023) - 2022
- [j5]Mohammadali Kargar, Tohid Sardarmehni, Xingyong Song:
Optimal Powertrain Energy Management for Autonomous Hybrid Electric Vehicles With Flexible Driveline Power Demand Using Approximate Dynamic Programming. IEEE Trans. Veh. Technol. 71(12): 12564-12575 (2022) - 2021
- [j4]Tohid Sardarmehni, Xingyong Song:
Sub-optimal tracking in switched systems with fixed final time and fixed mode sequence using reinforcement learning. Neurocomputing 420: 197-209 (2021) - [c2]Tohid Sardarmehni, Xingyong Song:
Introducing a User-friendly Approximate Dynamic Programming through Region-based Approximation. ACC 2021: 3914-3919
2010 – 2019
- 2019
- [j3]Tohid Sardarmehni, Arya Aghili Ashtiani, Mohammad Bagher Menhaj:
Fuzzy model predictive control of normalized air-to-fuel ratio in internal combustion engines. Soft Comput. 23(15): 6169-6182 (2019) - [i2]Tohid Sardarmehni, Xingyong Song:
Sub-optimal Tracking in Switched Systems with Controlled Subsystems and Fixed-mode Sequence using Approximate Dynamic Programming. CoRR abs/1907.11990 (2019) - [i1]Tohid Sardarmehni, Xingyong Song:
Sub-optimal Control of Autonomous Wheel loader with Approximate Dynamic Programming. CoRR abs/1907.11993 (2019) - 2018
- [j2]Tohid Sardarmehni, Ali Heydari:
Sub-optimal scheduling in switched systems with continuous-time dynamics: A gradient descent approach. Neurocomputing 285: 10-22 (2018) - [j1]Tohid Sardarmehni, Ali Heydari:
Suboptimal Scheduling in Switched Systems With Continuous-Time Dynamics: A Least Squares Approach. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2167-2178 (2018) - 2016
- [c1]Tohid Sardarmehni, Ali Heydari:
Policy iteration for optimal switching with continuous-time dynamics. IJCNN 2016: 3536-3543
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