Situational Control, Modeling and Diagnostics of Large Scale Systems

  • Ladislav Madarász
  • Rudolf Andoga
  • Ladislav Fozo
  • Tobiáš Lazar
Part of the Studies in Computational Intelligence book series (SCI, volume 243)


A large scale system in general is a high dimensional high parametric system with complex dynamics. For efficient and optimal function of such systems, it is necessary to propose and implement newest knowledge from the areas of cybernetics and artificial intelligence. Present control systems are often limited to control a complex system only at some given conditions. However in real-world applications these systems find themselves in very different working conditions, what influences parameters of their operation and characteristics of behavior and may lead to errors and critical states. The article deals with overview of methods of situational control and is aimed on implementation of these methods in the area of turbojet propulsion.


Situational Modeling Large Scale System Radial Compressor Situational Control Turbojet Engine 
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  1. 1.
    Spal, J., Madarász, L.: Problems of Classification in Diagnostics and Control of Complex Systems. In: 9th International World Congress, IFAC, Budapest, Colloquia 14.1, 11.1, July 2-6, 1984, vol. X, pp. 249–254 (1984)Google Scholar
  2. 2.
    Pospelov, D.A.: Situacionnoje upravlenije. Teoria i praks. Nauka, Moskva, p. 284 (1986) (in Russian)Google Scholar
  3. 3.
    Beneš, J.: Teorie systémů (řízení komplexů), p. 200. Academia, nakladatelství ČSAV (1974) (in Czech)Google Scholar
  4. 4.
    Madarász, L.: Metodika situačného riadenia a jej aplikácie, p. 212. Elfa Košice (1996) (in Slovak) ISBN 80 – 88786-66-5Google Scholar
  5. 5.
    Lazar, T., et al.: Tendencie vývoja a modelovania avionických systémov, Ministerstvo Obrany SR, p. 160 (2000) ISBN 80-8842-26-3 (in Slovak)Google Scholar
  6. 6.
    Andoga, R., Madarász, L., Főző, L.: Situational Modeling and Control of a Small Turbojet Engine MPM 20. In: IEEE International Conference on Computational Cybernetics, Tallinn, Estonia, August 20-22, 2006, pp. 81–85 (2006) ISBN 1-4244-0071-6Google Scholar
  7. 7.
    Madarász, L.: Inteligentné technológie a ich aplikácie v zložitých systémoch, Vydavateľstvo Elfa, s.r.o., TU Košice, p. 349 (2004) (in Slovak) ISBN 80 – 89066 – 75 - 5 Google Scholar
  8. 8.
    Moller, M.F.: A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning. Neural Networks 6, 525–533 (1993)CrossRefGoogle Scholar
  9. 9.
    Andoga, R., Főző, L., Madarász, L.: Digital Electronic Control of a Small Turbojet Engine MPM 20. Acta Polytechnica Hungarica 4(4), 83–95 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ladislav Madarász
    • 1
  • Rudolf Andoga
    • 1
  • Ladislav Fozo
    • 1
  • Tobiáš Lazar
    • 2
  1. 1.Dep. of Cybernetics and A.I.Technical University of KošiceKošiceSlovakia
  2. 2.Dep. of AvionicsTechnical University of KošiceKošiceSlovakia

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