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N. Rajasekhar
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Application of recurrent neural networks for modeling and control of a quadruple‐tank system
N Rajasekhar, KK Nagappan, TK Radhakrishnan, N Samsudeen
Advanced Control for Applications: Engineering and Industrial Systems 6 (2 …, 2024
72024
Effective MPC strategies using deep learning methods for control of nonlinear system
N Rajasekhar, KK Nagappan, TK Radhakrishnan, N Samsudeen
International Journal of Dynamics and Control, 1-14, 2024
72024
Decentralized multi-agent control of a three-tank hybrid system based on twin delayed deep deterministic policy gradient reinforcement learning algorithm
N Rajasekhar, TK Radhakrishnan, N Samsudeen
International Journal of Dynamics and Control 12 (4), 1098-1115, 2024
62024
Design of a Centralized PI Controller for Three-Tank Hybrid System Based on Optimization Methods
N Rajasekhar, VSV Bhanukiran, TK Radhakrishnan, N Samsudeen
Sustainable Chemical, Mineral and Material Processing: Select proceedings of …, 2022
22022
Reinforcement learning based temperature control of a fermentation bioreactor for ethanol production
N Rajasekhar, TK Radhakrishnan, SN Mohamed
Biotechnology and Bioengineering 121 (10), 3114-3127, 2024
12024
Deep deterministic policy gradient reinforcement learning based temperature control of a fermentation bioreactor for ethanol production
N Rajasekhar, TK Radhakrishnan, N Samsudeen
Journal of the Indian Chemical Society 102 (2), 101575, 2025
2025
Deep learning based modelling and control of a microbial electrolysis cell for enhanced bio hydrogen production
P Venkatesh, MR Chowdhury, N Rajasekhar, TK Radhakrishnan, ...
International Journal of Hydrogen Energy, 2024
2024
Recurrent Neural Network –Auto Regressive Exogenous Based Modelling and Control of a Bioreactor for Ethanol Production
NS N. Rajasekhar, P. Venkatesh, T.K. Radhakrishnan
ASEAN Journal of Process Control 2 (2), 1-2, 2024
2024
RL–DDPG Based Temperature Control of Fermentation Bioreactor for Ethanol Production
N Rajasekhar, TK Radhakrishnan, N Samsudeen
2023
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