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ORCIDKirubakaran Velswamy
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2020 – today
- 2024
[j6]Oguzhan Dogru
, Junyao Xie, Om Prakash, Ranjith Chiplunkar, Jansen Fajar Soesanto, Hongtian Chen, Kirubakaran Velswamy, Fadi Ibrahim, Biao Huang:
Reinforcement Learning in Process Industries: Review and Perspective. IEEE CAA J. Autom. Sinica 11(2): 283-300 (2024)- 2022
- [j5]Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, Yuqi Wu, Arun Senthil Sundaramoorthy, Biao Huang, Shu Xu, Mark Nixon, Noel Bell:
Reinforcement learning approach to autonomous PID tuning. Comput. Chem. Eng. 161: 107760 (2022) - [c1]Oguzhan Dogru, Kirubakaran Velswamy, Fadi Ibrahim, Yuqi Wu, Arun Senthil Sundaramoorthy, Biao Huang, Shu Xu, Mark Nixon, Noel Bell:
Reinforcement Learning Approach to Autonomous PID Tuning. ACC 2022: 2691-2696 - 2021
- [j4]Divyesh Raninga, T. K. Radhakrishnan, Kirubakaran Velswamy:
Explicit nonlinear predictive control algorithms for Laguerre filter and sparse least square support vector machine-based Wiener model. Trans. Inst. Meas. Control 43(4): 812-831 (2021) - 2020
- [j3]Hareem Shafi, Kirubakaran Velswamy, Fadi Ibrahim, Biao Huang:
A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel. Comput. Chem. Eng. 140: 106939 (2020)
2010 – 2019
- 2019
- [j2]Weikai Wang, Kirubakaran Velswamy, Kuangrong Hao, Lei Chen, Witold Pedrycz:
A hierarchical memory network-based approach to uncertain streaming data. Knowl. Based Syst. 165: 1-12 (2019) - 2018
- [j1]V. R. Divyesh, Chinmay Sahu, Kirubakaran Velswamy, T. K. Radhakrishnan, Guruprasath Muralidharan:
Energy optimization using metaheuristic bat algorithm assisted controller tuning for industrial and residential applications. Trans. Inst. Meas. Control 40(7): 2310-2321 (2018)
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