R. Bhushan Gopaluni

73 papers A* 2A 1C 17Journal 46Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interpretable and Reliable Soft Sensor Development in Industry 5.0. IEEE CAA J. Autom. Sinica Liang Cao, Jianping Su, Fan Yang, Yankai Cao, R. Bhushan Gopaluni
2025	J	`jnl`	A view on learning robust goal-conditioned value functions: Interplay between RL and MPC. Annu. Rev. Control. Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025	J	`jnl`	A view on learning robust goal-conditioned value functions: Interplay between RL and MPC. CoRR Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Ali Mesbah
2025	J	`jnl`	Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors. IEEE Trans. Instrum. Meas. Liang Cao, Jingyi Wang, Jianping Su, Yi Luo, Yankai Cao, Richard D. Braatz, R. Bhushan Gopaluni
2025	A*	`conf`	DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation. ICML Shuyuan Wang, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Wei Pan
2025	J	`jnl`	DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation. CoRR Shuyuan Wang, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Wei Pan
2025	J	`jnl`	From automated to autonomous process operations. Comput. Chem. Eng. Michael Baldea, Apostolos T. Georgiou, R. Bhushan Gopaluni, Mehmet Mercangöz, Constantinos C. Pantelides, Kiran Sheth, Victor M. Zavala, Christos Georgakis
2025	J	`jnl`	Time series representation learning via cross-domain predictive and contextual contrasting: Application to fault detection. Eng. Appl. Artif. Intell. Ibrahim Yousef, Sirish L. Shah, R. Bhushan Gopaluni
2024	—	`conf`	Deep Hankel matrices with random elements. L4DC Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2024	J	`jnl`	Deep Hankel matrices with random elements. CoRR Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2024	J	`jnl`	Drilling Process Monitoring Based on Operation Mode Recognition and Dynamic Feature Extraction. IEEE Trans. Ind. Electron. Yupeng Li, Weihua Cao, R. Bhushan Gopaluni, Wenkai Hu, Chao Gan, Min Wu
2024	A	`conf`	Guiding Reinforcement Learning with Incomplete System Dynamics. IROS Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang
2024	J	`jnl`	Guiding Reinforcement Learning with Incomplete System Dynamics. CoRR Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang
2024	J	`jnl`	Machine learning for industrial sensing and control: A survey and practical perspective. CoRR 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
2024	J	`jnl`	Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 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
2024	J	`jnl`	Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. Autom. Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2024	—	`conf`	Stable Soft Sensor Modeling for Industrial Systems. ICPS Liang Cao, Yankai Cao, R. Bhushan Gopaluni
2023	J	`jnl`	A modular framework for stabilizing deep reinforcement learning control. CoRR Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2023	J	`jnl`	Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system. CoRR Tobi Michael Alabi, Nathan P. Lawrence, Lin Lu, Zaiyue Yang, R. Bhushan Gopaluni
2023	J	`jnl`	Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework. IEEE Trans. Ind. Informatics Atefeh Daemi, R. Bhushan Gopaluni, Biao Huang
2023	J	`jnl`	Reinforcement Learning with Partial Parametric Model Knowledge. CoRR Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
2023	J	`jnl`	Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics. Comput. Chem. Eng. Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni
2023	J	`jnl`	Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior. CoRR Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
2022	J	`jnl`	Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics. CoRR Lim C. Siang, Shams Elnawawi, Lee D. Rippon, Daniel L. O'Connor, R. Bhushan Gopaluni
2022	J	`jnl`	Meta Reinforcement Learning for Adaptive Control: An Offline Approach. CoRR Daniel G. McClement, Nathan P. Lawrence, Johan U. Backström, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni
2022	J	`jnl`	Meta-Reinforcement Learning for Adaptive Control of Second Order Systems. CoRR Daniel G. McClement, Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, R. Bhushan Gopaluni
2022	J	`jnl`	Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. CoRR R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat, Biao Huang, Jong Min Lee, Faraz Amjad, Seshu Kumar Damarla, Jong Woo Kim, Nathan P. Lawrence
2022	—	`conf`	Soft Sensor Change Point Detection and Root Causal Analysis. SICE Liang Cao, R. Bhushan Gopaluni, Lim C. Siang, Yankai Cao, Jin Li
2022	C	`conf`	Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics. ACC Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni
2021	J	`jnl`	A Meta-Reinforcement Learning Approach to Process Control. CoRR Daniel G. McClement, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2021	J	`jnl`	Almost Surely Stable Deep Dynamics. CoRR Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2021	J	`jnl`	Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning. CoRR Nathan P. Lawrence, Michael G. Forbes, Philip D. Loewen, Daniel G. McClement, Johan U. Backström, R. Bhushan Gopaluni
2021	J	`jnl`	Representation learning and predictive classification: Application with an electric arc furnace. Comput. Chem. Eng. Lee D. Rippon, Ibrahim Yousef, Behrooz Hosseini, Arbi Bouchoucha, Jean-Francois Beaulieu, Carole Prévost, Michel Ruel, S. L. Shah, R. Bhushan Gopaluni
2020	J	`jnl`	A tractable approximation for stochastic MPC and application to mechanical pulping processes. Comput. Chem. Eng. Hui Tian, Jagadeesan Prakash, Victor M. Zavala, James A. Olson, R. Bhushan Gopaluni
2020	A*	`conf`	Almost Surely Stable Deep Dynamics. NeurIPS Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020	J	`jnl`	Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
2020	J	`jnl`	Deep Reinforcement Learning for Process Control: A Primer for Beginners. CoRR Steven Spielberg, Aditya Tulsyan, Nathan P. Lawrence, Philip D. Loewen, R. Bhushan Gopaluni
2020	J	`jnl`	Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem. CoRR Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020	J	`jnl`	Reinforcement Learning based Design of Linear Fixed Structure Controllers. CoRR Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni
2020	J	`jnl`	Support vector machine approach for model-plant mismatch detection. Comput. Chem. Eng. Qiugang Lu, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont, R. Bhushan Gopaluni
2019	J	`jnl`	Identification of symmetric noncausal processes. Autom. Qiugang Lu, Philip D. Loewen, R. Bhushan Gopaluni, Michael G. Forbes, Johan U. Backström, Guy Albert Dumont, Michael S. Davies
2019	—	`conf`	Sensing Concept for Practical Performance-Monitoring of Centrifugal Pumps. IEEE SENSORS Bryan Bohn, James A. Olson, R. Bhushan Gopaluni, Boris Stoeber
2019	J	`jnl`	Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
2018	J	`jnl`	A switching strategy for adaptive state estimation. Signal Process. Aditya Tulsyan, Swanand R. Khare, Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes
2018	J	`jnl`	Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment. Comput. Chem. Eng. Mahsa Sadeghassadi, Chris J. B. Macnab, R. Bhushan Gopaluni, David T. Westwick
2018	J	`jnl`	Locality preserving discriminative canonical variate analysis for fault diagnosis. Comput. Chem. Eng. Qiugang Lu, Benben Jiang, R. Bhushan Gopaluni, Philip D. Loewen, Richard D. Braatz
2017	J	`jnl`	A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty. Comput. Chem. Eng. David S. Zamar, R. Bhushan Gopaluni, Shahab Sokhansanj, Nathaniel K. Newlands
2017	—	`conf`	Fault identification with modified reconstruction-based contribution based on kernel principal component analysis. ASCC Koji Kitano, Manabu Kano, R. Bhushan Gopaluni
2017	C	`conf`	Noncausal modeling and closed-loop optimal input design for cross-directional processes of paper machines. ACC Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
2017	J	`jnl`	Performance Assessment of Cross-Directional Control for Paper Machines. IEEE Trans. Control. Syst. Technol. Qiugang Lu, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
2016	J	`jnl`	A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects. Medical Biol. Eng. Comput. O. Vahidi, K. E. Kwok, R. Bhushan Gopaluni, F. K. Knop
2016	C	`conf`	Economic nonlinear model predictive control for mechanical pulping processes. ACC Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala, James A. Olson
2016	C	`conf`	Model-based detection of organ dysfunction and faults in insulin infusion devices for type 2 diabetic patients. ACC Melissa Barazandegan, K. Ezra Kwok, R. Bhushan Gopaluni
2016	—	`conf`	Multiobjective economic model predictive control of mechanical pulping processes. CDC Hui Tian, Qiugang Lu, R. Bhushan Gopaluni, Victor M. Zavala
2016	J	`jnl`	Particle filtering without tears: A primer for beginners. Comput. Chem. Eng. Aditya Tulsyan, R. Bhushan Gopaluni, Swanand R. Khare
2016	J	`jnl`	Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. Comput. Chem. Eng. Hong Jang, Kwang-Ki K. Kim, Richard D. Braatz, R. Bhushan Gopaluni, Jay H. Lee
2016	C	`conf`	Robust model-based delay timer alarm for non-linear processes. ACC Aditya Tulsyan, R. Bhushan Gopaluni
2015	C	`conf`	Cross-directional controller performance monitoring for paper machines. ACC Qiugang Lu, Lee D. Rippon, R. Bhushan Gopaluni, Michael G. Forbes, Philip D. Loewen, Johan U. Backström, Guy Albert Dumont
2015	C	`conf`	Detecting model-plant mismatch without external excitation. ACC Mahdi Yousefi, Qiugang Lu, R. Bhushan Gopaluni, Philip D. Loewen, Michael G. Forbes, Guy Albert Dumont, Johan U. Backström
2015	C	`conf`	Real-time model predictive control for the optimal charging of a lithium-ion battery. ACC Marcello Torchio, Nicolas A. Wolff, Davide Martino Raimondo, Lalo Magni, Ulrike Krewer, R. Bhushan Gopaluni, Joel A. Paulson, Richard D. Braatz
2014	C	`conf`	Sensitivity of MIMO controller performance to model-plant mismatch, with applications to paper machine control. CCA Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Philip D. Loewen, Guy Albert Dumont, Johan U. Backström
2014	C	`conf`	Sensitivity of controller performance indices to model-plant mismatch: An application to paper machine control. ACC Mahdi Yousefi, Michael G. Forbes, R. Bhushan Gopaluni, Guy Albert Dumont, Johan U. Backström, Ashish Malhotra
2014	C	`conf`	Sparse identification in chemical master equations for monomolecular reaction networks. ACC Kwang Ki Kevin Kim, Hong Jang, R. Bhushan Gopaluni, Jay H. Lee, Richard D. Braatz
2013	J	`jnl`	A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States. IEEE Trans. Aerosp. Electron. Syst. Aditya Tulsyan, Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes
2013	C	`conf`	Constrained dual ensemble Kalman filter for state and parameter estimation. ACC Vinay A. Bavdekar, Jagdeesan Prakash, Sirish L. Shah, R. Bhushan Gopaluni
2013	C	`conf`	Optimal control and state estimation of lithium-ion batteries using reformulated models. ACC Bharatkumar Suthar, Venkatasailanathan Ramadesigan, Paul W. C. Northrop, R. Bhushan Gopaluni, Shriram Santhanagopalan, Richard D. Braatz, Venkat R. Subramanian
2011	C	`conf`	Detection of organ dysfunction in type II diabetic patients. ACC O. Vahidi, R. Bhushan Gopaluni, K. E. Kwok
2010	C	`conf`	Development of a physiological model forpatients with type 2 diabetes mellitus. ACC O. Vahidi, K. E. Kwok, R. Bhushan Gopaluni, L. Sun
2010	C	`conf`	Energy optimization in a pulp and paper mill cogeneration facility. ACC Devin J. Marshman, Terrance Chmelyk, M. S. Sidhu, R. Bhushan Gopaluni, Guy Albert Dumont
2008	J	`jnl`	Adaptive signal processing of asset price dynamics with predictability analysis. Inf. Sci. Rogemar S. Mamon, Christina Erlwein, R. Bhushan Gopaluni
2006	—	`conf`	Identification of Symmetric Noncausal Processes: Cross-Directional Response Modelling of Paper Machines. CDC R. Bhushan Gopaluni, Philip D. Loewen, Mohammed Ammar, Guy Albert Dumont, Michael S. Davies
2003	J	`jnl`	The nature of data pre-filters in MPC relevant identification - open- and closed-loop issues. Autom. R. Bhushan Gopaluni, R. S. Patwardhan, S. L. Shah
2002	C	`conf`	Experiment design for MPC relevant identification. ACC R. Bhushan Gopaluni, R. S. Patwardhan, Sirish L. Shah