List of publications
1. Z. K. Nagy, S. Agachi, Model Based Control of Chemical Processes – Case Studies, Presa Universitara Clujeana, Cluj, Romania, 223 pages, in English, 2004, ISBN: 973-610-314-5, 2004.
2. A. Kiss, A. Imre, Z. Nagy, Application of Computers in the Interpretation and Analysis of Data from Chemical and Chemical Engineering Systems, University textbook, “Babes-Bolyai” University, Cluj, Romania, 174 pages, in Romanian, 2001.
3. A. Imre, Z. Nagy, Applied Informatics in Chemistry and Chemical Engineering, University Textbook, “Babes-Bolyai” University, Cluj, Romania, 120 pages, in Romanian, 1996.
4. Nagy, Z.K., and R.D. Braatz, Recent advances in the optimal control of batch processes, In: Recent Research Developments in Chemical Engineering, TransWorld Research Network, Kerala, Vol 5, 99-127, 2003.
5. Z. K.
Nagy, J.W. Chew, M. Fujiwara, and R. D. Braatz, Advances in the modeling and control of batch crystallization:
comparative performance of concentration and temperature controlled
crystallization, Journal of Process Control, in press, 2004.
6. Fujiwara, M., Z.K. Nagy, J.W. Chew, R.D. Braatz, First-principles and direct design approaches for the control of pharmaceutical crystallization, Journal of Process Control, in press, 2004.
7. F.
Allgower, R. Findeisen, Z. K. Nagy,
Nonlinear model predictive control: from theory to application, J. of Chinese Inst.
of Chem. Engrs., 35 (3), 299-315, 2004.
8. Z. K. Nagy, R. D. Braatz,
Open-loop and closed-loop robust optimal control of batch processes using
distributional and worst-case analysis, Journal of Process Control, 14,
411-422, 2004.
9. Z. K. Nagy, R. D. Braatz, Worst-case and
Distributional Robustness Analysis of Finite-time Control Trajectories
for Nonlinear Distributed Parameter Systems, IEEE Transaction on Control
Systems Technology, 11 (5), 694-704, 2003.
10. Z. K. Nagy, R. D. Braatz,
Robust nonlinear model predictive control of batch processes, AIChE J.,
49 (7), 1776-1786, 2003.
11. M.
Diehl, H. G. Bock, J. P. Schlöder, R. Findeisen, Z. Nagy, F. Allgöwer, Real-time optimization and nonlinear model
predictive control of processes governed by differential‑algebraic
equations, Journal of Process Control,
12, 577-585, 2002.
12. Z. Nagy, S. Agachi, Real-time
implementation of nonlinear model predictive control to a pilot distillation
column, Control Engineering and Applied Informatics, 3 (4), 5-18, 2001.
13.
Z. Nagy,
Ana-Maria Cormos,
14. Z. Nagy, S. Agachi, Electronic course of data acquisition with remote data acquisition and video conference possibilities, Romanian Journal of Informatics and Automatics, 9 (3), 65-70, in Romanian, 1999.
15. S. Agachi, A. A. Kiss, Z. Nagy, A. Pop, Modeling of a catalytic steam reforming process using neural networks, Studia Universitatis Babes-Bolyai, Ser. Chemia, 43 (1-2), 135-144, 1998.
16. Z. Nagy, S. Agachi, Model predictive control of a PVC batch reactor, Computers & Chemical Engineering, 21 (6), 571-591, 1997.
17.
Z. K. Nagy, R Raluca, S. P. Agachi, F. Allgöwer, A real-time approach for moving
horizon estimation based nonlinear model predictive control of a fluid
catalytic cracking unit, in Proc. 7th
World Congress of Chemical Engineering, Glasgow, Scotland, July 10-14, 2005
(accepted).
18.
Z. K.
Nagy, B. Mahn, R. Franke, F. Allgower, Nonlinear model predictive control
of batch processes: an industrial case study, 16th IFAC World Congress,
19.
R. Roman,
Z. K. Nagy, S. P. Agachi, F. Allgöwer; Dynamic modeling and nonlinear
model predictive control of a fluid catalytic cracking unit, European Symposium on Computer Aided Process
Engineering (ESCAPE15), Barcelona, Spain, May 29 – June 1, 2005 (accepted).
20. Z. K. Nagy, and F. Allgower, Nonlinear model predictive control: from chemical industries to microelectronics, in Proc. of the 43rd IEEE Conference on Decision and Control (CDC2004), Atlantis, Bahamas, 4249-4254, December 14-17, 2004.
21. Z. K. Nagy, S. P. Agachi, Internet-based interactive remote laboratory for educational experiments, in Proc. of the AIChE Annual Meeting, Austin, TX, in Session New Technologies for Experimentation over the Internet, Paper 528e, full paper on CD, November 7-12, 2004.
22. Z. K. Nagy, F. Allgower, R. Franke, A. Frick, B. Mahn, Efficient tool for nonlinear model predictive control of batch processes, in Proc. of the 12th Mediterranean Conference on Control and Automation (MED'04), Kusadasi, Turkey, full paper on CD, June 6-9, 2004.
23. Z. K. Nagy, R. Findeisen, F. Allgower, Hierarchical nonlinear model predictive control of an industrial batch reactor, in Proc. of the Symposium on Knowledge Driven Batch Processes (BatchPro), Poros, Greece, 203-210, June 6-9, 2004.
24. R. Lepore, R. Findeisen, Z. K. Nagy, F. Allgower, A. Vande Wouwer, Optimal Open- and Closed-Loop Control for Disturbance Rejection in Batch Process Control: a MMA Polymerization Example, in Proc. of the Symposium on Knowledge Driven Batch Processes (BatchPro), Poros, Greece, 235-241, June 6-9, 2004.
25.
Z. K.
Nagy, S. P. Agachi, F. Allgower, Nonlinear model predictive control of a
pilot distillation column. An artificial intelligence approach, in Proc. of the IEEE-TTTC International
Conference on Automation, Quality and Testing, Robotics (A&QT-R 2004, THETA
14),
26.
Z. K. Nagy, J.W. Chew, M. Fujiwara,
and R. D. Braatz, Advances in the
modeling and control of batch crystallizers, in. Proc. of the 7th
IFAC Symp. on Advanced Control of Chemical Processes (ADCHEM), Hong Kong,
83-90,
27.
Z. K.
Nagy, J. W. Chew, M. Fujiwara, and R. D. Braatz. Automated direct design of
pharmaceutical crystallization. in Proc. of the Topical Conf. on Discovery,
Development and Delivery of Medicines, AIChE Annual Meeting,
28. Z. K. Nagy, L.L. Simon, M.V. Cristea, S.P. Agachi, L. Jiménez, W. Schaufelberger, A distillation telelaboratory for distance CAPE education, in Proc. of the 2003 WFEO/ASEE e-Conference of the American Society for Engineering Education, 2003.
29. Z. K. Nagy, R. D. Braatz, Distributional robustness analysis of a batch crystallization process, in Proc. of the 6th World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, Vol. V, 187-192, July 14 - 18, 2002.
30. Z. K. Nagy, S. P. Agachi, R. Findeisen, F. Allgower, M. Diehl, J. P. Schloder, H. G. Bock, The tradeoff between modeling complexity and real-time feasibility in nonlinear model predictive control, in Proc. of the 6th World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, Vol. VI, 329-334, July 14 - 18, 2002. (Best paper award on section Process Control I).
31. Z. K. Nagy, S. P. Agachi, A novel nonlinear model predictive approach for hybrid systems, in Proc. of the 6th World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, Vol. VI, 335-340, July 14 - 18, 2002.
32. R.
Findeisen, F. Allgower, M. Diehl, H. G. Bock, J. P. Schloder, Z. Nagy, Efficient nonlinear model
predictive control, in Proc. of the 6th
International Conference on Chemical Process Control (CPC‑VI),
Tuscon, Arizona, USA, 454-460, 2001.
33. R.
Findeisen, M. Diehl, Z. Nagy, F.
Allgöwer, H. G. Bock, J. P. Schlöder, Computational feasibility and performance
of nonlinear model predictive control schemes, in Proc. of the 6th European Control Conference (ECC’01),
Porto, Portugal, 957-961, 2001.
34. Z. Nagy, S. Agachi, F. Allgower, R.
Findeisen, M. Diehl, H. G. Bock, J. P. Schloeder, Using genetic algorithm in
robust nonlinear model predictive control, in Gani, R. and S.B. Jørgensen (editors),
European Symposium on Computer Aided
Process Engineering-11 (ESCAPE-11),
Kolding, Denmark, 711-716, Elsevier Science,
May 27-30, 2001.
35.
A. Imre, G. Szasz, Z. Nagy, A. Kiss, S. Agachi, Dynamic modeling of continuous
distillation. Comparison between commercial software, in Proc. of the 4th Conference on Process Integration, Modeling
and Optimization for Energy Saving and Pollution Reduction (PRES’01),
36. G. Szasz, Z. Nagy, S. Agachi, Vapor-liquid equilibrium in aqueous solutions of ammonia and CO using neural networks, in Proc. of the Conference “30 Years of Chemical Engineering Education in Cluj-Napoca”, ISBN 973-99821-8-2, Cluj, Romania, full paper on CD, Paper 1p9, 2001.
37. Alexandra Rustoiu-Csavdari, Z. Nagy, Some application of artificial intelligence in analytical chemistry, in Proc. of the Conference “30 Years of Chemical Engineering Education in Cluj-Napoca”, ISBN 973-99821-8-2, Romania, full paper on CD, Paper 1p22, 2001.
38. Z. Nagy, L. Bodizs, R. Findeisen, M.
Diehl, F. Allgower, S. Agachi, H. G. Bock, J. P. Schloder, A comparison of
first principles and neural network model based nonlinear predictive control of
a distillation column, AIChE Annual
Meeting, Los Angeles, CA, USA, Paper 257h, November 12-17, 2000.
39. Z. Nagy, S. Agachi, F. Allgower, R.
Findeisen, Nonlinear model predictive control of a high purity distillation
column, in Proc. of the 14th
International Congress of Chemical and Process Engineering (CHISA'2000),
Prague, Czech Republic, full text on CD, Paper 0998 (P3.12), August 27-31,
2000.
40. A.
Rustoiu-Csavdari, L. Copolovici, Z. Nagy,
Possible use of artificial neural networks in tricomponent callibration, in Proc. of the 14th International
Congress of Chemical and Process Engineering (CHISA'2000), Prague, Czech
Republic, full text on CD, Paper 1447 (P7.4), August 27-31, 2000.
41. Z. Nagy, R. Findeisen, M. Diehl, F. Allgower, H. G. Bock, S. Agachi, J. P. Schloder, D. Leineweber, Real-time feasibility of nonlinear predictive control for large scale processes – a case study, in Proc. of the American Control Conference (ACC2000), Chicago, Illinois, USA, 4249-4254, IEEE Press, Piscataway, NY, June 28-30, 2000.
42. H. G. Bock, M. Diehl, J. P. Schloder, F. Allgower, R. Findeisen, Z. Nagy, Real-time optimization and nonlinear model predictive control of processes governed by differential‑algebraic equations, in Proc. of the International Symposium on Advanced Control of Chemical Processes (ADCHEM 2000), Pisa, Italy, 695-703, June 14-16, 2000.
43. Z. Nagy, S. Agachi, L. Bodizs, Adaptive neural network model based nonlinear predictive control of a fluid catalytic cracking unit, in Pierucci S. (editor), European Symposium on Computer Aided Process Engineering-10 ( ESCAPE-10), Florence, Italy, 235-240, Elsevier Science, May 7-11, 2000.
44. F.
Allgower, R. Findeisen, Z. Nagy, M. Diehl, H. G. Bock, J. P.
Schloder, Efficient nonlinear model predictive control for large scale
constrained processes, in Proc. of the
6th International Conference on Methods and Models in Automation and Robotics,
Miedzyzdroje, Poland, 43-54, 2000.
45.
Z. Nagy,
46. Z. Nagy, S. Agachi, Distance learning applied in an introductory data acquisition course, in Proc. of the 5th International Conference on Computer Aided Engineering Education (CAEE'99), Sofia, Bulgaria, 250-254, September 22-24,1999.
47. Z. Nagy, S. Agachi, Productivity optimization of the PVC batch suspension reactor using genetic algorithm, in Proc. of the 2nd Conference on Process Integration, Modeling and Optimization for Energy Saving and Pollution Reduction (PRES'99), Budapest, Hungary, 487-492, May 31 - June 2, 1999.
48. Z. Nagy, S. Agachi, Dynamic Modelling and model predictive control of a fermentation bioreactor, in Proc. on the International Chemistry Show of the Romanian Society of Chemical Engineers (SiChem'98), Bucuresti, Romania, 350-359, October 20-23, 1998.
49. S. Agachi, Z. Nagy, A. Imre, M. Cristea, G. Szasz, Data acquisition and monitoring system of an industrial power station, in Proc. of the 13th International Congress of Chemical and Process Engineering (CHISA'98), Prague, Czech Republic, full paper on CD, August 23-28, 1998.
50. Z. Nagy, S. Agachi, Nonlinear model predictive control of a continuous fermentation reactor using neural networks, in Proc. of the Scientific Conference of Artificial Intelligence in Industry (AIII'98), High Tatras, Slovakia, 207-215, April 22-24, 1998.
51. S. Agachi, Z. Nagy, Model predictive control of a model IV fluid catalytic cracking unit, in Proc. of the 12th International Congress of Chemical and Process Engineering (CHISA'96), Praha, Czech Republic, on CD, August 25-30, 1996.
52.
S. Agachi, M. Cristea, A. Imre-Lucaci, Z. Nagy, L. Silaghi, Industrial system
of energy management, in Proc. of the 12th
International Congress of Chemical and Process Engineering (CHISA'96),
Praha, Czech Republic, on CD, August 25-30, 1996.
53. Z. Nagy, S. Agachi, Nonlinear model predictive control of a continuous fermentation reactor using artificial neural networks, in Proc. of Automatic Control and Testing Conference, Cluj‑Napoca, Romania, Vol. A2, 235-240, May 23-24, 1996.
54. Z. Nagy, S. Agachi, Nonlinear model predictive control of the PVC process, in Proc. of the Conference “Academic Days of Timisoara”, Timisoara, Romania, Vol. 2, 39-42, in Romanian, 1995.
55. R. Lepore, A. Vande Wouwer, M. Remy, R. Findeisen, Z. K. Nagy, F. Allgoewer, Optimal control of batch reactor under model uncertainty, 24th Beneluc meeting on Systems and Control, Houffalize, Belgium, March 22-24, 2005.
56.
R. Roman, Z.K.
Nagy, S. Agachi, and F. Allgoewer, First principles modeling and nonlinear
optimization based estimation and control of a fluid catalytic cracking unit, Computer Aided Process Engineering (CAPE)
Forum,
57. Z. K. Nagy, R. Findeisen, F. Allgoewer, Nonlinear model predictive control approach for robust run-to-run control of batch processes, AIChE Annual Meeting, Austin, Texas, USA, in Session Systems and Process Design, Paper 403p, November 7-12, 2004.
58. Z. K. Nagy, R. Findeisen, F. Allgoewer, Nonlinear model predictive control of batch processes, in Proc. of European Conference on Mathematics for Industry (ECMI 2004), Eindhoven, The Nederlands, 43-44, June 21-25, 2004.
59. R.D. Braatz, Z. K. Nagy, M. Fujiwara, and J. W. Chew, Fundamentals of crystallization control, Lasentec Users Forum, New York, USA, http://www.lasentec.com/abs_2003_UofI_crystallizationcontrol.html, 2003.
60.
Z. K. Nagy and R. D. Braatz, Robust
EKF-based nonlinear model predictive control of batch processes, AIChE
Annual Meeting,
61. Z. K. Nagy, M. Fujiwara, and R. D. Braatz, Theoretical and experimental comparison of temperature-, concentration-, and growth rate-controlled batch crystallization, AIChE Annual Meeting, Indianapolis, Indiana, USA, in Session Process Monitoring and Control of Particulate Growth Processes, Paper 149c, November 3-8, 2002.
62. Z. Nagy, S. Agachi, DAQ System for remote monitoring and control of a laboratory chemical plant, in Proc. of the International Conference of Molecular and Isotopic Processes, Cluj-Napoca, Romania, 129-130, September 23-25, 1999.