| A survey on applications of agent technology in industrial process control M Metzger, G Polakow IEEE Transactions on Industrial Informatics 7 (4), 570-581, 2011 | 153 | 2011 |
| Local balance-based adaptive control in the heat distribution system–Practical validation J Czeczot, P Laszczyk, M Metzger Applied Thermal Engineering 30 (8-9), 879-891, 2010 | 33 | 2010 |
| Simplified dynamical input–output modeling of plate heat exchangers–case study M Fratczak, P Nowak, J Czeczot, M Metzger Applied Thermal Engineering 98, 880-893, 2016 | 31 | 2016 |
| Modelling, simulation and control of continuous processes M Metzger Jacek Skalmierski Edition, 2000 | 27 | 2000 |
| Tuning strategy for dynamic matrix control with reduced horizons T Klopot, P Skupin, M Metzger, P Grelewicz ISA transactions 76, 145-154, 2018 | 25 | 2018 |
| New boundary conditions and adaptive control of fixed-bed bioreactors JP Babary, S Julien, MT Nihtilä, J Czeczot, M Metzger Chemical Engineering and Processing: Process Intensification 38 (1), 35-44, 1999 | 25 | 1999 |
| Filtering in adaptive control of distributed parameter bioreactors in the presence of noisy measurements J Czeczot, M Metzger, JP Babary, M Nihtilä Simulation Practice and Theory 8 (1-2), 39-56, 2000 | 24 | 2000 |
| Multi-agent system for hierarchical control with self-organising database D Choiński, W Nocoń, M Metzger Agent and Multi-Agent Systems: Technologies and Applications: First KES …, 2007 | 21 | 2007 |
| Distributed parameter model for pH process including distributed continuous and discrete reactant feed K Stebel, M Metzger Computers & chemical engineering 38, 82-93, 2012 | 19 | 2012 |
| A comparative evaluation of DRE integration algorithms for real-time simulation of biologically activated sludge process M Metzger Simulation Practice and Theory 7 (7), 629-643, 2000 | 19 | 2000 |
| Fast-mode real-time simulator for the wastewater treatment process M Metzger Water Science and Technology 30 (4), 191, 1994 | 19 | 1994 |
| Practical validation of the effective control of liquid–liquid heat exchangers by distributed parameter balance-based adaptive controller M Fratczak, J Czeczot, P Nowak, M Metzger Applied Thermal Engineering 129, 549-556, 2018 | 18 | 2018 |
| Comparison of the RK4M4, RK4LIN and RK4M1 methods for systems with time-delays M Metzger Simulation 52 (5), 189-193, 1989 | 17 | 1989 |
| Stability analysis of the continuous ethanol fermentation process with a delayed product inhibition P Skupin, M Metzger Applied Mathematical Modelling 49, 48-58, 2017 | 15 | 2017 |
| Agent–based approach for labVIEW developed distributed control systems G Polaków, M Metzger Agent and Multi-Agent Systems: Technologies and Applications: First KES …, 2007 | 15 | 2007 |
| Holonic multiagent-based system for distributed control of semi-industrial pilot plants M Metzger, G Polaków International Conference on Industrial Applications of Holonic and Multi …, 2007 | 13 | 2007 |
| Cooperative validation in distributed control systems design D Choinski, M Metzger, W Nocon, G Polakow Cooperative Design, Visualization, and Engineering: 4th International …, 2007 | 13 | 2007 |
| Predictive control of decantation in batch sedimentation process W Nocoń, M Metzger AIChE journal 56 (12), 3279-3283, 2010 | 12 | 2010 |
| Easy programmable MAPI controller based on simplified process model M Metzger Proc. of the IFAC Workshop on Programmable Devices and Systems, Gliwice …, 2001 | 12 | 2001 |
| Oscillatory behavior control in continuous fermentation processes P Skupin, M Metzger IFAC-PapersOnLine 48 (8), 1114-1119, 2015 | 11 | 2015 |
Dariusz Choińskidr hab. inż. prof. nzw. w Politechnice ŚląskiejVerified email at polsl.pl
