R. Bhushan Gopaluni

According to our database1, R. Bhushan Gopaluni authored at least 38 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2021
A Meta-Reinforcement Learning Approach to Process Control.
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

Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem.
CoRR, 2020

Reinforcement Learning based Design of Linear Fixed Structure Controllers.
CoRR, 2020

Deep Reinforcement Learning for Process Control: A Primer for Beginners.
CoRR, 2020

A tractable approximation for stochastic MPC and application to mechanical pulping processes.
Comput. Chem. Eng., 2020

Support vector machine approach for model-plant mismatch detection.
Comput. Chem. Eng., 2020

Almost Surely Stable Deep Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Identification of symmetric noncausal processes.
Autom., 2019

Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes.
IEEE Access, 2019

2018
A switching strategy for adaptive state estimation.
Signal Process., 2018

Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment.
Comput. Chem. Eng., 2018

Locality preserving discriminative canonical variate analysis for fault diagnosis.
Comput. Chem. Eng., 2018

2017
Performance Assessment of Cross-Directional Control for Paper Machines.
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

Particle filtering without tears: A primer for beginners.
Comput. Chem. Eng., 2016

Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks.
Comput. Chem. Eng., 2016

Multiobjective economic model predictive control of mechanical pulping processes.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Robust model-based delay timer alarm for non-linear processes.
Proceedings of the 2016 American Control Conference, 2016

Economic nonlinear model predictive control for mechanical pulping processes.
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
Detecting model-plant mismatch without external excitation.
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

Cross-directional controller performance monitoring for paper machines.
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

Constrained dual ensemble Kalman filter for state and parameter estimation.
Proceedings of the American Control Conference, 2013

2010
Energy optimization in a pulp and paper mill cogeneration facility.
Proceedings of the American Control Conference, 2010

2008
Adaptive signal processing of asset price dynamics with predictability analysis.
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


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