Feedback control for optimal process operation S Engell Journal of process control 17 (3), 203-219, 2007 | 630 | 2007 |
Scope for industrial applications of production scheduling models and solution methods I Harjunkoski, CT Maravelias, P Bongers, PM Castro, S Engell, ... Computers & Chemical Engineering 62, 161-193, 2014 | 599 | 2014 |
Systems & control for the future of humanity, research agenda: Current and future roles, impact and grand challenges F Lamnabhi-Lagarrigue, A Annaswamy, S Engell, A Isaksson, ... Annual Reviews in Control 43, 1-64, 2017 | 355 | 2017 |
Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty S Lucia, T Finkler, S Engell Journal of process control 23 (9), 1306-1319, 2013 | 353 | 2013 |
Model predictive control using neural networks A Draeger, S Engell, H Ranke IEEE Control Systems Magazine 15 (5), 61-66, 1995 | 308 | 1995 |
Iterative set-point optimization of batch chromatography W Gao, S Engell Computers & Chemical Engineering 29 (6), 1401-1409, 2005 | 240 | 2005 |
Continuous-discrete interactions in chemical processing plants S Engell, S Kowalewski, C Schulz, O Stursberg Proceedings of the IEEE 88 (7), 1050-1068, 2000 | 237 | 2000 |
Handling uncertainty in economic nonlinear model predictive control: A comparative case study S Lucia, JAE Andersson, H Brandt, M Diehl, S Engell Journal of Process Control 24 (8), 1247-1259, 2014 | 185 | 2014 |
Optimal operation: Scheduling, advanced control and their integration S Engell, I Harjunkoski Computers & Chemical Engineering 47, 121-133, 2012 | 182 | 2012 |
Optimization-based control of a reactive simulated moving bed process for glucose isomerization A Toumi, S Engell Chemical Engineering Science 59 (18), 3777-3792, 2004 | 177 | 2004 |
Optimization of steel production scheduling with complex time-sensitive electricity cost H Hadera, I Harjunkoski, G Sand, IE Grossmann, S Engell Computers & Chemical Engineering 76, 117-136, 2015 | 158 | 2015 |
An assessment of the current status of algorithmic approaches to the verification of hybrid systems BI Silva, O Stursberg, BH Krogh, S Engell Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No …, 2001 | 150 | 2001 |
Rapid development of modular and sustainable nonlinear model predictive control solutions S Lucia, A Tătulea-Codrean, C Schoppmeyer, S Engell Control Engineering Practice 60, 51-62, 2017 | 142 | 2017 |
Gain-scheduling trajectory control of a continuous stirred tank reactor KU Klatt, S Engell Computers & Chemical Engineering 22 (4-5), 491-502, 1998 | 140 | 1998 |
Nonlinear control of a non-minimum-phase CSTR S Engell, KU Klatt 1993 American Control Conference, 2941-2945, 1993 | 140 | 1993 |
Modeling and solving real-time scheduling problems by stochastic integer programming G Sand, S Engell Computers & chemical engineering 28 (6-7), 1087-1103, 2004 | 136 | 2004 |
Verification of PLC programs given as sequential function charts N Bauer, S Engell, R Huuck, S Lohmann, B Lukoschus, M Remelhe, ... Integration of Software Specification Techniques for Applications in …, 2004 | 134 | 2004 |
Modelling, analysis and design of hybrid systems S Engell, G Frehse, E Schnieder Springer, 2003 | 129 | 2003 |
Model-based optimization and control of chromatographic processes KU Klatt, F Hanisch, G Dünnebier, S Engell Computers & Chemical Engineering 24 (2-7), 1119-1126, 2000 | 117 | 2000 |
A reliable modifier-adaptation strategy for real-time optimization W Gao, S Wenzel, S Engell Computers & chemical engineering 91, 318-328, 2016 | 115 | 2016 |