Kirubakaran Velswamy

发表

Performance evaluation of whey flux in dead-end and cross-flow modes via convolutional neural networks.

M. S. Abdullah, P. Goh, A. Ismail, 2021, Journal of environmental management.

Reinforcement Learning Approach to Autonomous PID Tuning

F. Ibrahim, N. Bell, Arunmetha Sundaramoorthy, 2022, 2022 American Control Conference (ACC).

Explicit nonlinear predictive control algorithms for Laguerre filter and sparse least square support vector machine-based Wiener model

Kirubakaran Velswamy, Divyesh Raninga, Radhakrishnan Tk, 2021, Trans. Inst. Meas. Control.

A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems

Biao Huang, Yuan Wang, Kirubakaran Velswamy, 2017 .

Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking

Biao Huang, Oguzhan Dogru, Kirubakaran Velswamy, 2021 .

A hierarchical memory network-based approach to uncertain streaming data

Witold Pedrycz, Kuangrong Hao, Lei Chen, 2019, Knowl. Based Syst..

Online reinforcement learning for a continuous space system with experimental validation

Biao Huang, Kirubakaran Velswamy, Oguzhan Dogru, 2021, Journal of Process Control.

Reinforcement Learning in Process Industries: Review and Perspective

Ranjith Chiplunkar, Hongtian Chen, Oguzhan Dogru, 2024, IEEE/CAA Journal of Automatica Sinica.

A Novel Approach to Feedback Control with Deep Reinforcement Learning

Biao Huang, Yuan Wang, Kirubakaran Velswamy, 2018 .