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Kirubakaran Velswamy
Kirubakaran Velswamy
Post doctoral fellow, Dept. of Chemical and Materials Engg., University of Alberta, Edmonton, Canada
Verified email at ualberta.ca
Title
Cited by
Cited by
Year
A long-short term memory recurrent neural network based reinforcement learning controller for office heating ventilation and air conditioning systems
Y Wang, K Velswamy, B Huang
Processes 5 (3), 46, 2017
1812017
Distributed multiparametric model predictive control design for a quadruple tank process
V Kirubakaran, TK Radhakrishnan, N Sivakumaran
Measurement 47, 841-854, 2014
682014
Reinforcement learning approach to autonomous PID tuning
O Dogru, K Velswamy, F Ibrahim, Y Wu, AS Sundaramoorthy, B Huang, ...
Computers & Chemical Engineering 161, 107760, 2022
602022
A novel approach to feedback control with deep reinforcement learning
Y Wang, K Velswamy, B Huang
IFAC-PapersOnLine 51 (18), 31-36, 2018
542018
Online reinforcement learning for a continuous space system with experimental validation
O Dogru, N Wieczorek, K Velswamy, F Ibrahim, B Huang
Journal of Process Control 104, 86-100, 2021
332021
Actor–critic reinforcement learning and application in developing computer-vision-based interface tracking
O Dogru, K Velswamy, B Huang
Engineering 7 (9), 1248-1261, 2021
192021
A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel
H Shafi, K Velswamy, F Ibrahim, B Huang
Computers & Chemical Engineering 140, 106939, 2020
192020
Real Time Modeling and Control of Three Tank Hybrid System
TK K. Sathish Kumar, Velswamy, Kirubakaran, Radhakrishnan
Chemical Product and Process Modeling 13 (1), 1-10, 2018
17*2018
Real Time Modeling and Control of Three Tank Hybrid System
K Sathish Kumar, V Kirubakaran, TK Radhakrishnan
International Conference on New Frontiers in Chemical, Energy and …, 2015
172015
GOBF-ARMA based model predictive control for an ideal reactive distillation column
S Lalu, V Kirubakaran, TK Radhakrishnan
International Conference on Green Technology for Environmental Pollution …, 2014
17*2014
Energy efficient model based algorithm for control of building HVAC systems
V Kirubakaran, C Sahu, TK Radhakrishnan, N Sivakumaran
Ecotoxicology and environmental safety 121, 236-243, 2015
162015
Performance evaluation of whey flux in dead-end and cross-flow modes via convolutional neural networks
LT Yogarathinam, K Velswamy, A Gangasalam, AF Ismail, PS Goh, ...
Journal of environmental management 301, 113872, 2022
122022
Neural model predictive controller for multivariable process
N Sivakumaran, V Kirubakaran, TK Radhakrishnan
2006 IEEE International Conference on Industrial Technology, 3072-3077, 2006
122006
Energy optimization using metaheuristic bat algorithm assisted controller tuning for industrial and residential applications
VR Divyesh, C Sahu, V Kirubakaran, TK Radhakrishnan, M Guruprasath
Transactions of the Institute of Measurement and Control 40 (7), 2310-2321, 2018
102018
Metaheuristic Patient Estimation Based Patient-Specific Fuzzy Aggregated Artificial Pancreas Design
V Kirubakaran, TK Radhakrishnan, N Sivakumaran
Industrial and Engineering Chemistry Research 53 (39), 15052–15070, 2014
92014
Explicit model predictive control of split-type air conditioning system
C Sahu, V Kirubakaran, TK Radhakrishnan, N Sivakumaran
Transactions of the Institute of Measurement and Control 39 (5), 754-762, 2017
82017
A hierarchical memory network-based approach to uncertain streaming data
W Wang, K Velswamy, K Hao, L Chen, W Pedrycz
Knowledge-Based Systems 165, 1-12, 2019
72019
Fuzzy aggregation based multiple models explicit multi parametric MPC design for a quadruple tank process
V Kirubakaran, TK Radhakrishnan, N Sivakumaran
IFAC-PapersOnLine 49 (1), 555-560, 2016
62016
Parametric analysis of lignocellulosic ultrafiltration in lab scale cross flow module using pore blocking and artificial neural network model
LT Yogarathinam, K Velswamy, A Gangasalam, AF Ismail, PS Goh, ...
Chemosphere 286, 131822, 2022
52022
Explicit nonlinear predictive control algorithms for Laguerre filter and sparse least square support vector machine-based Wiener model
K Diveyesh Raninga, Radhakrishnan TK
Transactions of Institute of Measurement and Control, 1-20, 2020
5*2020
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Articles 1–20