R. Bhushan Gopaluni
Orcid: 0000-0002-4321-0468
According to our database1,
R. Bhushan Gopaluni
authored at least 58 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Chem. Eng., February, 2024
Drilling Process Monitoring Based on Operation Mode Recognition and Dynamic Feature Extraction.
IEEE Trans. Ind. Electron., 2024
Machine learning for industrial sensing and control: A survey and practical perspective.
CoRR, 2024
2023
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics.
Comput. Chem. Eng., September, 2023
Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework.
IEEE Trans. Ind. Informatics, 2023
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior.
CoRR, 2023
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system.
CoRR, 2023
2022
CoRR, 2022
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey.
CoRR, 2022
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics.
Proceedings of the American Control Conference, 2022
2021
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning.
CoRR, 2021
Representation learning and predictive classification: Application with an electric arc furnace.
Comput. Chem. Eng., 2021
2020
Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction.
IEEE Trans. Ind. Informatics, 2020
CoRR, 2020
CoRR, 2020
A tractable approximation for stochastic MPC and application to mechanical pulping processes.
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes.
IEEE Access, 2019
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019
2018
Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment.
Comput. Chem. Eng., 2018
Comput. Chem. Eng., 2018
2017
IEEE Trans. Control. Syst. Technol., 2017
A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty.
Comput. Chem. Eng., 2017
Fault identification with modified reconstruction-based contribution based on kernel principal component analysis.
Proceedings of the 11th Asian Control Conference, 2017
Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines.
Proceedings of the 2017 American Control Conference, 2017
2016
A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects.
Medical Biol. Eng. Comput., 2016
Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks.
Comput. Chem. Eng., 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Model-based detection of organ dysfunction and faults in insulin infusion devices for type 2 diabetic patients.
Proceedings of the 2016 American Control Conference, 2016
2015
Proceedings of the American Control Conference, 2015
Real-time model predictive control for the optimal charging of a lithium-ion battery.
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
2014
Sensitivity of controller performance indices to model-plant mismatch: An application to paper machine control.
Proceedings of the American Control Conference, 2014
Sparse identification in chemical master equations for monomolecular reaction networks.
Proceedings of the American Control Conference, 2014
Sensitivity of MIMO controller performance to model-plant mismatch, with applications to paper machine control.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
2013
A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States.
IEEE Trans. Aerosp. Electron. Syst., 2013
Optimal control and state estimation of lithium-ion batteries using reformulated models.
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
2011
Proceedings of the American Control Conference, 2011
2010
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2008
Inf. Sci., 2008
2006
Identification of Symmetric Noncausal Processes: Cross-Directional Response Modelling of Paper Machines.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2003
The nature of data pre-filters in MPC relevant identification - open- and closed-loop issues.
Autom., 2003
2002
Proceedings of the American Control Conference, 2002