Debangsu Bhattacharyya

20 papers C 4Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Application of unsupervised machine learning methods to actor-critic structures in reinforcement learning for training and online implementation. Comput. Chem. Eng. Daniel Beahr, Debangsu Bhattacharyya
2025	J	`jnl`	Continuous learning of the value function utilizing deep reinforcement learning to be used as the objective in model predictive control. Comput. Chem. Eng. Daniel Beahr, Elijah Hedrick, Debangsu Bhattacharyya
2025	J	`jnl`	Mass-Constrained hybrid Gaussian radial basis neural networks: Development, training, and applications to modeling nonlinear dynamic noisy chemical processes. Comput. Chem. Eng. Angan Mukherjee, Dipendu Gupta, Debangsu Bhattacharyya
2024	J	`jnl`	Development of algorithms for augmenting and replacing conventional process control using reinforcement learning. Comput. Chem. Eng. Daniel Beahr, Debangsu Bhattacharyya, Douglas A. Allan, Stephen E. Zitney
2024	J	`jnl`	Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements. CoRR Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling
2024	J	`jnl`	Measure this, not that: Optimizing the cost and model-based information content of measurements. Comput. Chem. Eng. Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling
2024	J	`jnl`	On the development of steady-state and dynamic mass-constrained neural networks using noisy transient data. Comput. Chem. Eng. Angan Mukherjee, Debangsu Bhattacharyya
2024	J	`jnl`	Optimal nonlinear dynamic sparse model selection and Bayesian parameter estimation for nonlinear systems. Comput. Chem. Eng. Samuel Adeyemo, Debangsu Bhattacharyya
2022	J	`jnl`	Reinforcement learning for online adaptation of model predictive controllers: Application to a selective catalytic reduction unit. Comput. Chem. Eng. Elijah Hedrick, Katherine Hedrick, Debangsu Bhattacharyya, Stephen E. Zitney, Benjamin P. Omell
2020	J	`jnl`	Optimal sensor network design for multi-scale, time-varying differential algebraic equation systems: Application to an entrained-flow gasifier refractory brick. Comput. Chem. Eng. Qiao Huang, Debangsu Bhattacharyya
2018	J	`jnl`	Optimal scheduling and its Lyapunov stability for advanced load-following energy plants with CO Comput. Chem. Eng. Temitayo Bankole, Dustin Jones, Debangsu Bhattacharyya, Richard Turton, Stephen E. Zitney
2016	C	`conf`	Algorithmic modelling of structural connectivity for process plants. ACC Temitayo Bankole, Debangsu Bhattacharyya
2016	J	`jnl`	Dynamic model-based sensor network design algorithm for system efficiency maximization. Comput. Chem. Eng. Prokash Paul, Debangsu Bhattacharyya, Richard Turton, Stephen E. Zitney
2014	J	`jnl`	Plant-wide control system design: Primary controlled variable selection. Comput. Chem. Eng. Dustin Jones, Debangsu Bhattacharyya, Richard Turton, Stephen E. Zitney
2014	J	`jnl`	Plant-wide control system design: Secondary controlled variable selection. Comput. Chem. Eng. Dustin Jones, Debangsu Bhattacharyya, Richard Turton, Stephen E. Zitney
2013	C	`conf`	Adaptive Kalman filter for estimation of environmental performance variables in an acid gas removal process. ACC Prokash Paul, Debangsu Bhattacharyya, Richard Turton, Stephen E. Zitney
2013	C	`conf`	Optimal selection of primary controlled variables for an acid gas removal unit as part of an IGCC plant with CO2 capture. ACC Dustin Jones, Debangsu Bhattacharyya, Richard Turton, Stephen E. Zitney
2010	J	`jnl`	Dimensional optimization of a tubular solid oxide fuel cell. Comput. Chem. Eng. Debangsu Bhattacharyya, Raghunathan Rengaswamy
2009	C	`conf`	Dynamic modeling and system identification of a tubular solid oxide fuel cell (TSOFC). ACC Debangsu Bhattacharyya, Raghunathan Rengaswamy
2009	J	`jnl`	Solid Oxide Fuel Cell Modeling. IEEE Trans. Ind. Electron. Abraham Gebregergis, Pragasen Pillay, Debangsu Bhattacharyya, Raghunathan Rengaswamy