| Model predictive control in industry: Challenges and opportunities MG Forbes, RS Patwardhan, H Hamadah, RB Gopaluni IFAC-PapersOnLine 48 (8), 531-538, 2015 | 391 | 2015 |
| Detection of model-plant mismatch in MPC applications AS Badwe, RD Gudi, RS Patwardhan, SL Shah, SC Patwardhan Journal of Process Control 19 (8), 1305-1313, 2009 | 209 | 2009 |
| Multivariate controller performance analysis: methods, applications and challenges SL Shah, R Patwardhan, B Huang AIChE symposium series, 190-207, 2002 | 148 | 2002 |
| Issues in performance diagnostics of model-based controllers RS Patwardhan, SL Shah Journal of Process Control 12 (3), 413-427, 2002 | 138 | 2002 |
| Root cause diagnosis of plant-wide oscillations using the concept of adjacency matrix H Jiang, R Patwardhan, SL Shah Journal of Process Control 19 (8), 1347-1354, 2009 | 135 | 2009 |
| Constrained nonlinear MPC using Hammerstein and Wiener models: PLS framework RS Patwardhan, S Lakshminarayanan, SL Shah AIChE Journal 44 (7), 1611-1622, 1998 | 123 | 1998 |
| Quantifying the impact of model-plant mismatch on controller performance AS Badwe, RS Patwardhan, SL Shah, SC Patwardhan, RD Gudi Journal of Process Control 20 (4), 408-425, 2010 | 122 | 2010 |
| Performance evaluation of two industrial MPC controllers J Gao, R Patwardhan, K Akamatsu, Y Hashimoto, G Emoto, SL Shah, ... Control engineering practice 11 (12), 1371-1387, 2003 | 103 | 2003 |
| Ripple-free conditions for lifted multirate control systems AK Tangirala, D Li, RS Patwardhan, SL Shah, T Chen Automatica 37 (10), 1637-1645, 2001 | 94 | 2001 |
| Issues in multirate process control AK Tangirala, D Li, R Patwardhan, SL Shah, T Chen Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) 4 …, 1999 | 82 | 1999 |
| Toward a low cost and high performance MPC: The role of system identification Y Zhu, R Patwardhan, SB Wagner, J Zhao Computers & Chemical Engineering 51, 124-135, 2013 | 75 | 2013 |
| Mpc relevant identification––tuning the noise model RB Gopaluni, RS Patwardhan, SL Shah Journal of Process Control 14 (6), 699-714, 2004 | 67 | 2004 |
| Assessing the performance of model predictive controllers RS Patwardhan, SL Shah, KZ Qi The Canadian Journal of Chemical Engineering 80 (5), 954-966, 2002 | 65 | 2002 |
| Performance analysis of model-based predictive controllers: An industrial case study R Patwardhan Annual Meeting of AIChE, Miami Beach, 1998, 1998 | 35 | 1998 |
| The nature of data pre-filters in MPC relevant identification—open-and closed-loop issues RB Gopaluni, RS Patwardhan, SL Shah Automatica 39 (9), 1617-1626, 2003 | 34 | 2003 |
| A moving horizon approach to input design for closed loop identification RS Patwardhan, RB Goapluni Journal of Process Control 24 (3), 188-202, 2014 | 33 | 2014 |
| Machine learning & conventional approaches to process control & optimization: Industrial applications & perspectives DB Raven, Y Chikkula, KM Patel, AH Al Ghazal, HS Salloum, AS Bakhurji, ... Computers & Chemical Engineering 189, 108789, 2024 | 31 | 2024 |
| Applications of advanced analytics at Saudi Aramco: A practitioners’ perspective RS Patwardhan, HA Hamadah, KM Patel, RH Hafiz, MM Al-Gwaiz Industrial & Engineering Chemistry Research 58 (26), 11338-11351, 2019 | 30 | 2019 |
| Model analysis and performance analysis of two industrial MPCs H Jiang, SL Shah, B Huang, B Wilson, R Patwardhan, F Szeto Control engineering practice 20 (3), 219-235, 2012 | 28 | 2012 |
| Identification of k-step-ahead prediction error model and MPC control J Zhao, Y Zhu, R Patwardhan Journal of Process Control 24 (1), 48-56, 2014 | 24 | 2014 |
Sirish L ShahUniversity of AlbertaVerified email at ualberta.ca
