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2020 – today
- 2024
[j22]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: 111642 (2024)- [j21]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: 108523 (2024) - [j20]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): 7876-7885 (2024) - [c24]Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni:
Deep Hankel matrices with random elements. L4DC 2024: 1579-1591 - [i16]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 abs/2401.13836 (2024) - [i15]Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni:
Deep Hankel matrices with random elements. CoRR abs/2404.15512 (2024) - 2023
- [j19]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: 108294 (2023) - [j18]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): 1436-1444 (2023) - [i14]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 abs/2301.07768 (2023) - [i13]Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni:
A modular framework for stabilizing deep reinforcement learning control. CoRR abs/2304.03422 (2023) - [i12]Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni:
Reinforcement Learning with Partial Parametric Model Knowledge. CoRR abs/2304.13223 (2023) - [i11]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 abs/2310.14098 (2023) - 2022
- [c23]Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni:
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics. ACC 2022: 5217-5222 - [c22]Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li:
Soft Sensor Change Point Detection and Root Causal Analysis. SICE 2022: 242-247 - [i10]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 abs/2203.09661 (2022) - [i9]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 abs/2209.09301 (2022) - [i8]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 abs/2209.11123 (2022) - [i7]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 abs/2211.06440 (2022) - 2021
- [j17]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: 107304 (2021) - [i6]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 abs/2103.14060 (2021) - [i5]Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni:
Almost Surely Stable Deep Dynamics. CoRR abs/2103.14722 (2021) - [i4]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 abs/2111.07171 (2021) - 2020
- [j16]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) - [j15]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: 106977 (2020) - [j14]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): 7233-7242 (2020) - [c21]Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni:
Almost Surely Stable Deep Dynamics. NeurIPS 2020 - [i3]Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence, Philip D. Loewen, R. Bhushan Gopaluni:
Deep Reinforcement Learning for Process Control: A Primer for Beginners. CoRR abs/2004.05490 (2020) - [i2]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 abs/2005.04537 (2020) - [i1]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 abs/2005.04539 (2020)
2010 – 2019
- 2019
- [j13]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: 22554-22565 (2019) - [j12]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: 515-530 (2019) - [c20]Bryan Bohn, James A. Olson, R. Bhushan Gopaluni, Boris Stoeber:
Sensing Concept for Practical Performance-Monitoring of Centrifugal Pumps. IEEE SENSORS 2019: 1-4 - 2018
- [j11]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: 150-160 (2018) - [j10]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: 309-319 (2018) - [j9]Aditya Tulsyan, Swanand R. Khare, Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes:
A switching strategy for adaptive state estimation. Signal Process. 143: 371-380 (2018) - 2017
- [j8]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: 114-123 (2017) - [j7]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): 208-221 (2017) - [c19]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: 2837-2842 - [c18]Koji Kitano, Manabu Kano, R. Bhushan Gopaluni:
Fault identification with modified reconstruction-based contribution based on kernel principal component analysis. ASCC 2017: 1493-1498 - 2016
- [j6]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: 111-120 (2016) - [j5]Aditya Tulsyan, R. Bhushan Gopaluni, Swanand R. Khare:
Particle filtering without tears: A primer for beginners. Comput. Chem. Eng. 95: 130-145 (2016) - [j4]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): 1383-1398 (2016) - [c17]Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala, James A. Olson:
Economic nonlinear model predictive control for mechanical pulping processes. ACC 2016: 1796-1801 - [c16]Aditya Tulsyan, R. Bhushan Gopaluni:
Robust model-based delay timer alarm for non-linear processes. ACC 2016: 2989-2994 - [c15]Melissa Barazandegan, K. Ezra Kwok, R. Bhushan Gopaluni:
Model-based detection of organ dysfunction and faults in insulin infusion devices for type 2 diabetic patients. ACC 2016: 3994-3999 - [c14]Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala:
Multiobjective economic model predictive control of mechanical pulping processes. CDC 2016: 4040-4045 - 2015
- [c13]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: 4536-4541 - [c12]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: 4970-4975 - [c11]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: 4976-4981 - 2014
- [c10]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: 204-209 - [c9]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: 3506-3511 - [c8]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: 3698-3703 - 2013
- [j3]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): 2478-2495 (2013) - [c7]Vinay A. Bavdekar, Jagdeesan Prakash, Sirish L. Shah, R. Bhushan Gopaluni:
Constrained dual ensemble Kalman filter for state and parameter estimation. ACC 2013: 3093-3098 - [c6]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: 5350-5355 - 2011
- [c5]O. Vahidi, R. Bhushan Gopaluni, K. E. Kwok:
Detection of organ dysfunction in type II diabetic patients. ACC 2011: 4769-4774 - 2010
- [c4]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: 1229-1234 - [c3]O. Vahidi, K. E. Kwok, R. Bhushan Gopaluni, L. Sun:
Development of a physiological model forpatients with type 2 diabetes mellitus. ACC 2010: 2027-2032
2000 – 2009
- 2008
- [j2]Rogemar S. Mamon, Christina Erlwein, R. Bhushan Gopaluni:
Adaptive signal processing of asset price dynamics with predictability analysis. Inf. Sci. 178(1): 203-219 (2008) - 2006
- [c2]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: 6744-6749 - 2003
- [j1]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): 1617-1626 (2003) - 2002
- [c1]R. Bhushan Gopaluni, R. S. Patwardhan, Sirish L. Shah:
Experiment design for MPC relevant identification. ACC 2002: 2713-2718
Coauthor Index
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