1. A Meta-Reinforcement Learning Approach to Process Control. Issue 3 (2021) Authors: McClement, Daniel G.; Lawrence, Nathan P.; Loewen, Philip D.; Forbes, Michael G.; Backström, Johan U.; Gopaluni, R. Bhushan Journal: IFAC-PapersOnLine Issue: Volume 54:Issue 3(2021) Page Start: 685 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A tractable approximation for stochastic MPC and application to mechanical pulping processes. (4th October 2020) Authors: Tian, Hui; Prakash, Jagadeesan; Zavala, Victor M.; Olson, James A.; Gopaluni, R. Bhushan Journal: Computers & chemical engineering Issue: Volume 141(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. An economic model predictive control framework for mechanical pulping processes. (April 2019) Authors: Tian, Hui; Lu, Qiugang; Gopaluni, R. Bhushan; Zavala, Victor M.; Olson, James A. Journal: Control engineering practice Issue: Volume 85(2019) Page Start: 100 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Data-driven dynamic inferential sensors based on causality analysis. (November 2020) Authors: Cao, Liang; Yu, Feng; Yang, Fan; Cao, Yankai; Gopaluni, R. Bhushan Journal: Control engineering practice Issue: Volume 104(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Deep Neural Network Approximation of Nonlinear Model Predictive Control. Issue 2 (2020) Authors: Cao, Yankai; Gopaluni, R. Bhushan Journal: IFAC-PapersOnLine Issue: Volume 53:Issue 2(2020) Page Start: 11319 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Deep reinforcement learning with shallow controllers: An experimental application to PID tuning. (April 2022) Authors: Lawrence, Nathan P.; Forbes, Michael G.; Loewen, Philip D.; McClement, Daniel G.; Backström, Johan U.; Gopaluni, R. Bhushan Journal: Control engineering practice Issue: Volume 121(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. False alarm reduction in drilling process monitoring using virtual sample generation and qualitative trend analysis. (April 2023) Authors: Li, Yupeng; Cao, Weihua; Gopaluni, R. Bhushan; Hu, Wenkai; Cao, Liang; Wu, Min Journal: Control engineering practice Issue: Volume 133(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Interactive visualization for diagnosis of industrial Model Predictive Controllers with steady-state optimizers. (April 2022) Authors: Elnawawi, Shams; Siang, Lim C.; O'Connor, Daniel L.; Gopaluni, R. Bhushan Journal: Control engineering practice Issue: Volume 121(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Learning physics based models of Lithium-ion Batteries. Issue 3 (2021) Authors: Mckay, Maricela Best; Wetton, Brian; Gopaluni, R. Bhushan Journal: IFAC-PapersOnLine Issue: Volume 54:Issue 3(2021) Page Start: 97 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. LIONSIMBA: A Matlab Framework Based on a Finite Volume Model Suitable for Li-Ion Battery Design, Simulation, and Control. Issue 7 (12th April 2016) Authors: Torchio, Marcello; Magni, Lalo; Gopaluni, R. Bhushan; Braatz, Richard D.; Raimondo, Davide M. Journal: Journal of the Electrochemical Society Issue: Volume 163:Issue 7(2016) Page Start: A1192 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗