| Review and comparison of techniques of analysis of valve stiction: From modeling to smart diagnosis RB di Capaci, C Scali Chemical Engineering Research and Design 130, 230-265, 2018 | 67 | 2018 |
| An open-source system identification package for multivariable processes G Armenise, M Vaccari, RB Di Capaci, G Pannocchia 2018 UKACC 12th International Conference on Control (CONTROL), 152-157, 2018 | 40 | 2018 |
| System identification applied to stiction quantification in industrial control loops: A comparative study RB di Capaci, C Scali, G Pannocchia Journal of Process Control 46, 11-23, 2016 | 27 | 2016 |
| A cloud-based monitoring system for performance assessment of industrial plants R Bacci di Capaci, C Scali Industrial & Engineering Chemistry Research 59 (6), 2341-2352, 2020 | 25 | 2020 |
| Optimally managing chemical plant operations: An example oriented by Industry 4.0 paradigms M Vaccari, R Bacci di Capaci, E Brunazzi, L Tognotti, P Pierno, ... Industrial & Engineering Chemistry Research 60 (21), 7853-7867, 2021 | 22 | 2021 |
| Model predictive control design for multivariable processes in the presence of valve stiction RB di Capaci, M Vaccari, G Pannocchia Journal of Process Control 71, 25-34, 2018 | 21 | 2018 |
| Biomethane from short rotation forestry and microalgal open ponds: system modeling and life cycle assessment AL Tasca, RB di Capaci, L Tognotti, M Puccini Bioresource technology 273, 468-477, 2019 | 20 | 2019 |
| Stiction quantification: A robust methodology for valve monitoring and maintenance scheduling R Bacci di Capaci, C Scali Industrial & Engineering Chemistry Research 53 (18), 7507-7516, 2014 | 20 | 2014 |
| Advanced diagnosis of control loops: Experimentation on pilot plant and validation on industrial scale RB di Capaci, C Scali, D Pestonesi, E Bartaloni IFAC Proceedings Volumes 46 (32), 589-594, 2013 | 20 | 2013 |
| Enhancing MPC formulations by identification and estimation of valve stiction RB di Capaci, M Vaccari, C Scali, G Pannocchia Journal of Process Control 81, 31-39, 2019 | 16 | 2019 |
| A valve stiction tolerant formulation of MPC for industrial processes RB di Capaci, M Vaccari, G Pannocchia IFAC-PapersOnLine 50 (1), 9044-9049, 2017 | 16 | 2017 |
| Implementation of an Industry 4.0 system to optimally manage chemical plant operation M Vaccari, RB di Capaci, E Brunazzi, L Tognotti, P Pierno, R Vagheggi, ... IFAC-PapersOnLine 53 (2), 11545-11550, 2020 | 15 | 2020 |
| A revised technique of stiction compensation for control valves RB di Capaci, C Scali, B Huang IFAC-papersonline 49 (7), 1038-1043, 2016 | 15 | 2016 |
| An augmented PID control structure to compensate for valve stiction RB di Capaci, C Scali IFAC-PapersOnLine 51 (4), 799-804, 2018 | 11 | 2018 |
| Review on valve stiction. Part I: From modeling to smart diagnosis R Bacci di Capaci, C Scali Processes 3 (2), 422-451, 2015 | 10 | 2015 |
| A performance monitoring tool to quantify valve stiction in control loops RB di Capaci, C Scali IFAC Proceedings Volumes 47 (3), 6710-6715, 2014 | 10 | 2014 |
| Industrial PID control loop data repository and comparison of fault detection methods M Bauer, L Auret, R Bacci di Capaci, A Horch, NF Thornhill Industrial & Engineering Chemistry Research 58 (26), 11430-11439, 2019 | 8 | 2019 |
| Identification techniques for stiction quantification in the presence of nonstationary disturbances RB Capaci, C Scali, G Pannocchia IFAC-PapersOnLine 48 (8), 629-634, 2015 | 7 | 2015 |
| Data-driven models for advanced control of acid gas treatment in waste-to-energy plants RB di Capaci, G Pannocchia, A Dal Pozzo, G Antonioni, V Cozzani IFAC-PapersOnLine 55 (7), 869-874, 2022 | 6 | 2022 |
| Identification and estimation of valve stiction by the use of a smoothed model RB di Capaci, M Vaccari, G Pannocchia, C Scali IFAC-PapersOnLine 51 (18), 684-689, 2018 | 6 | 2018 |
