Skip To Main Content
Ahmad Akbari on Muck Rack

Ahmad Akbari

As seen in: Wiley Online Library, arXiv, MDPI, Taylor & Francis Online, Kompasiana, International Journal of Electronic Business
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Ahmad

Contact Ahmad, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Treatment of textile dye effluents using a new polyacrylonitrile nanofiltration membrane developed by UV photo grafting

|
By Ahmad Akbari, Fatemeh Seifodin, Zeinab Khani-Arani
| Wiley Online Library Verified
REFERENCES 1, , , , , , , , , , , J. Environ. Chem. Eng. 2023, 11, 110583. 2, , , Electrochemical Membrane Technology, Elsevier, Amsterdam, Netherlands 2024, p. 397. 3, , , Renewable Sustainable Energy Rev. 2023, 172, 113041. 4, , , , , , , , J. Environ. Chem. Eng. 2021, 9, 105012. 5, , Nanotechnol. Environ. Eng. 2020, 5, 15. 6, , , , Emergent Mater. 2021, 5, 1. 7, , , , , , , Environ. Sci. Technol. 2024, 58, 22818. 8, , Braz. J. Chem. Eng. 2023, 40, 247. 9, , , Food Eng. Rev. 2022, 14, 579. 10, , Desalin. Water Treat.
Open in Who Shared Issue with article?

Control policy learning for linear quadratic regulation in systems with unknown dynamics using short input-output trajectories

|
By Ahmad Pishro Asl, Ahmad Akbari
| Taylor & Francis Online
Abstract The optimal control policy for the linear quadratic regulation (LQR) of discrete-time systems can be derived from the optimal Q-function. Iterative model-free algorithms like Q-learning require numerous iterations and substantial data, while semi-definite programming (SDP)-based methods necessitate full state measurement.
Open in Who Shared Issue with article?

Output feedback linear quadratic regulator design through one-shot Q-function learning

|
By Ahmad Akbari, Ahmad Pishro Asl
| Taylor & Francis Online
Advanced search International Journal of Control Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/00207179.2025.2497894?needAccess=true Abstract In model-free control, reinforcement learning (RL) methods such as Q-learning have been employed to design discrete-time (DT) linear quadratic regulators (LQR).
Open in Who Shared View Duplicates (10) Issue with article?
See all 9 articles