Tohid Sardarmehni

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Policy Iteration

Optimal Control

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Veh. Technol.

Publications

Tohid Sardarmehni, Xingyong Song
Region-based approximation in approximate dynamic programming. Int. J. Control 97 (2) (2024)
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) (2023)
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) (2023)
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) (2022)
Tohid Sardarmehni, Xingyong Song
Introducing a User-friendly Approximate Dynamic Programming through Region-based Approximation. ACC (2021)
Tohid Sardarmehni, Xingyong Song
Sub-optimal tracking in switched systems with fixed final time and fixed mode sequence using reinforcement learning. Neurocomputing 420 (2021)
Tohid Sardarmehni, Xingyong Song
Sub-optimal Tracking in Switched Systems with Controlled Subsystems and Fixed-mode Sequence using Approximate Dynamic Programming. CoRR (2019)
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) (2019)
Tohid Sardarmehni, Xingyong Song
Sub-optimal Control of Autonomous Wheel loader with Approximate Dynamic Programming. CoRR (2019)
Tohid Sardarmehni, Ali Heydari
Sub-optimal scheduling in switched systems with continuous-time dynamics: A gradient descent approach. Neurocomputing 285 (2018)
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) (2018)
Tohid Sardarmehni, Ali Heydari
Policy iteration for optimal switching with continuous-time dynamics. IJCNN (2016)