R. Bhushan Gopaluni

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 45

Top Topics

Kernel Principal Component Analysis

Model Predictive Control

Wastewater Treatment

Reinforcement Learning

Top Venues

Comput. Chem. Eng.

IEEE Trans. Ind. Informatics

Publications

Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Deep Hankel matrices with random elements. L4DC (2024)
Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio-Chanona, Christos Georgakis
Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 181 (2024)
Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni
Machine learning for industrial sensing and control: A survey and practical perspective. CoRR (2024)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Deep Hankel matrices with random elements. CoRR (2024)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. Autom. 164 (2024)
Yupeng Li, Weihua Cao, R. Bhushan Gopaluni, Wenkai Hu, Chao Gan, Min Wu
Drilling Process Monitoring Based on Operation Mode Recognition and Dynamic Feature Extraction. IEEE Trans. Ind. Electron. 71 (7) (2024)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. CoRR (2023)
Tobi Michael Alabi, Nathan P. Lawrence, Lin Lu, Zaiyue Yang, R. Bhushan Gopaluni
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)
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
A modular framework for stabilizing deep reinforcement learning control. CoRR (2023)
Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
Reinforcement Learning with Partial Parametric Model Knowledge. CoRR (2023)
Atefeh Daemi, R. Bhushan Gopaluni, Biao Huang
Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework. IEEE Trans. Ind. Informatics 19 (2) (2023)
Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics. Comput. Chem. Eng. 177 (2023)
Lim C. Siang, Shams Elnawawi, Lee D. Rippon, Daniel L. O'Connor, R. Bhushan Gopaluni
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics. CoRR (2022)
Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni
Meta Reinforcement Learning for Adaptive Control: An Offline Approach. CoRR (2022)
Daniel G. McClement, Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, R. Bhushan Gopaluni
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems. CoRR (2022)
Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li
Soft Sensor Change Point Detection and Root Causal Analysis. SICE (2022)
R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat, Biao Huang, Jong Min Lee, Faraz Amjad, Seshu Kumar Damarla, Jong Woo Kim, Nathan P. Lawrence
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. CoRR (2022)
Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning. CoRR (2021)
Daniel G. McClement, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
A Meta-Reinforcement Learning Approach to Process Control. CoRR (2021)
Lee D. Rippon, Ibrahim Yousef, Behrooz Hosseini, Arbi Bouchoucha, Jean-Francois Beaulieu, Carole Prévost, Michel Ruel, S. L. Shah, R. Bhushan Gopaluni
Representation learning and predictive classification: Application with an electric arc furnace. Comput. Chem. Eng. 150 (2021)
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Almost Surely Stable Deep Dynamics. CoRR (2021)
Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Almost Surely Stable Deep Dynamics. NeurIPS (2020)
Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics 16 (12) (2020)
Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence, Philip D. Loewen, R. Bhushan Gopaluni
Deep Reinforcement Learning for Process Control: A Primer for Beginners. CoRR (2020)
Hui Tian, Jagadeesan Prakash, Victor M. Zavala, James A. Olson, R. Bhushan Gopaluni
A tractable approximation for stochastic MPC and application to mechanical pulping processes. Comput. Chem. Eng. 141 (2020)
Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Reinforcement Learning based Design of Linear Fixed Structure Controllers. CoRR (2020)
Qiugang Lu, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont, R. Bhushan Gopaluni
Support vector machine approach for model-plant mismatch detection. Comput. Chem. Eng. 133 (2020)
Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem. CoRR (2020)
Bryan Bohn, James A. Olson, R. Bhushan Gopaluni, Boris Stoeber
Sensing Concept for Practical Performance-Monitoring of Centrifugal Pumps. IEEE SENSORS (2019)
Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access 7 (2019)
Qiugang Lu, Philip D. Loewen, R. Bhushan Gopaluni, Michael G. Forbes, Johan U. Backström, Guy Albert Dumont, Michael S. Davies
Identification of symmetric noncausal processes. Autom. 103 (2019)
Mahsa Sadeghassadi, Chris J. B. Macnab, R. Bhushan Gopaluni, David T. Westwick
Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment. Comput. Chem. Eng. 115 (2018)
Aditya Tulsyan, Swanand R. Khare, Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes
A switching strategy for adaptive state estimation. Signal Process. 143 (2018)
Qiugang Lu, Benben Jiang, R. Bhushan Gopaluni, Philip D. Loewen, Richard D. Braatz
Locality preserving discriminative canonical variate analysis for fault diagnosis. Comput. Chem. Eng. 117 (2018)
Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines. ACC (2017)
David S. Zamar, R. Bhushan Gopaluni, Shahab Sokhansanj, Nathaniel K. Newlands
A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty. Comput. Chem. Eng. 97 (2017)
Koji Kitano, Manabu Kano, R. Bhushan Gopaluni
Fault identification with modified reconstruction-based contribution based on kernel principal component analysis. ASCC (2017)
Qiugang Lu, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
Performance Assessment of Cross-Directional Control for Paper Machines. IEEE Trans. Control. Syst. Technol. 25 (1) (2017)
Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala, James A. Olson
Economic nonlinear model predictive control for mechanical pulping processes. ACC (2016)
Melissa Barazandegan, Ezra Kwok, R. Bhushan Gopaluni
Model-based detection of organ dysfunction and faults in insulin infusion devices for type 2 diabetic patients. ACC (2016)
O. Vahidi, K. E. Kwok, R. Bhushan Gopaluni, F. K. Knop
A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects. Medical Biol. Eng. Comput. 54 (9) (2016)
Aditya Tulsyan, R. Bhushan Gopaluni
Robust model-based delay timer alarm for non-linear processes. ACC (2016)
Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala
Multiobjective economic model predictive control of mechanical pulping processes. CDC (2016)
Aditya Tulsyan, R. Bhushan Gopaluni, Swanand R. Khare
Particle filtering without tears: A primer for beginners. Comput. Chem. Eng. 95 (2016)
Hong Jang, Kwang-Ki K. Kim, Richard D. Braatz, R. Bhushan Gopaluni, Jay H. Lee
Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. Comput. Chem. Eng. 90 (2016)
Mahdi Yousefi, Qiugang Lu, R. Bhushan Gopaluni, Philip D. Loewen, Michael G. Forbes, Guy Albert Dumont, Johan U. Backström
Detecting model-plant mismatch without external excitation. ACC (2015)
Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
Cross-directional controller performance monitoring for paper machines. ACC (2015)
Marcello Torchio, Nicolas A. Wolff, Davide Martino Raimondo, Lalo Magni, Ulrike Krewer, R. Bhushan Gopaluni, Joel A. Paulson, Richard D. Braatz
Real-time model predictive control for the optimal charging of a lithium-ion battery. ACC (2015)
Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Guy Albert Dumont, Johan U. Backström
Sensitivity of MIMO controller performance to model-plant mismatch, with applications to paper machine control. CCA (2014)
Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Guy Albert Dumont, Johan U. Backström, Ashish Malhotra
Sensitivity of controller performance indices to model-plant mismatch: An application to paper machine control. ACC (2014)
Kwang Ki Kevin Kim, Hong Jang, R. Bhushan Gopaluni, Jay H. Lee, Richard D. Braatz
Sparse identification in chemical master equations for monomolecular reaction networks. ACC (2014)
Bharatkumar Suthar, Venkatasailanathan Ramadesigan, Paul W. C. Northrop, R. Bhushan Gopaluni, Shriram Santhanagopalan, Richard D. Braatz, Venkat R. Subramanian
Optimal control and state estimation of lithium-ion batteries using reformulated models. ACC (2013)
Vinay A. Bavdekar, Jagdeesan Prakash, Sirish L. Shah, R. Bhushan Gopaluni
Constrained dual ensemble Kalman filter for state and parameter estimation. ACC (2013)
Aditya Tulsyan, Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes
A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States. IEEE Trans. Aerosp. Electron. Syst. 49 (4) (2013)
O. Vahidi, R. Bhushan Gopaluni, K. E. Kwok
Detection of organ dysfunction in type II diabetic patients. ACC (2011)
O. Vahidi, K. E. Kwok, R. Bhushan Gopaluni, L. Sun
Development of a physiological model forpatients with type 2 diabetes mellitus. ACC (2010)
Devin J. Marshman, Terrance Chmelyk, M. S. Sidhu, R. Bhushan Gopaluni, Guy Albert Dumont
Energy optimization in a pulp and paper mill cogeneration facility. ACC (2010)
Rogemar S. Mamon, Christina Erlwein, R. Bhushan Gopaluni
Adaptive signal processing of asset price dynamics with predictability analysis. Inf. Sci. 178 (1) (2008)
R. Bhushan Gopaluni, Philip D. Loewen, Mohammed Ammar, Guy Albert Dumont, Michael S. Davies
Identification of Symmetric Noncausal Processes: Cross-Directional Response Modelling of Paper Machines. CDC (2006)
R. Bhushan Gopaluni, R. S. Patwardhan, S. L. Shah
The nature of data pre-filters in MPC relevant identification - open- and closed-loop issues. Autom. 39 (9) (2003)
R. Bhushan Gopaluni, R. S. Patwardhan, Sirish L. Shah
Experiment design for MPC relevant identification. ACC (2002)