| * | 2009 |
| 10 | EE | Katalin M. Hangos,
Zsolt Tuza,
A. Yeo:
Some complexity problems on single input double output controllers.
Discrete Applied Mathematics 157(5): 1146-1158 (2009) |
| 2008 |
| 9 | EE | Katalin M. Hangos,
Erzsébet Németh,
Rozália Lakner:
A Procedure Ontology for Advanced Diagnosis of Process Systems.
KES (1) 2008: 501-508 |
| 8 | EE | Irene Otero-Muras,
Gábor Szederkényi,
Katalin M. Hangos,
Antonio A. Alonso:
Dynamic analysis and control of biochemical reaction networks.
Mathematics and Computers in Simulation 79(4): 999-1009 (2008) |
| 2007 |
| 7 | EE | Erzsébet Németh,
Rozália Lakner,
Katalin M. Hangos,
Ian T. Cameron:
Prediction-based diagnosis and loss prevention using qualitative multi-scale models.
Inf. Sci. 177(8): 1916-1930 (2007) |
| 2006 |
| 6 | EE | Rozália Lakner,
Erzsébet Németh,
Katalin M. Hangos,
Ian T. Cameron:
Multiagent Realization of Prediction-Based Diagnosis and Loss Prevention.
IEA/AIE 2006: 70-80 |
| 5 | EE | Barna Pongrácz,
Gábor Szederkényi,
Katalin M. Hangos:
An algorithm for determining a class of invariants in quasi-polynomial systems.
Computer Physics Communications 175(3): 204-211 (2006) |
| 2005 |
| 4 | EE | Erzsébet Németh,
Rozália Lakner,
Katalin M. Hangos,
Ian T. Cameron:
Prediction-Based Diagnosis and Loss Prevention Using Model-Based Reasoning.
IEA/AIE 2005: 367-369 |
| 3 | EE | Erzsébet Németh,
Ian T. Cameron,
Katalin M. Hangos:
Diagnostic goal driven modelling and simulation of multiscale process systems.
Computers & Chemical Engineering 29(4): 783-796 (2005) |
| 2004 |
| 2 | EE | Katalin M. Hangos,
Gábor Szederkényi,
Zsolt Tuza:
The effect of model simplification assumptions on the differential index of lumped process models.
Computers & Chemical Engineering 28(1-2): 129-137 (2004) |
| 2001 |
| 1 | EE | Rozália Lakner,
Katalin M. Hangos:
Intelligent Assumption Retrieval from Process Models by Model-Based Reasoning.
IEA/AIE 2001: 145-154 |