Skip to main content
Have a personal or library account? Click to login
Reducing the Impact of Uncertainties in Networked Control Systems Using Type-2 Fuzzy Logic Cover

Reducing the Impact of Uncertainties in Networked Control Systems Using Type-2 Fuzzy Logic

Journal of Electrical Engineering
Volume 65 (2014): Issue 6 (November 2014)
By: ,  ,   and    
Open Access
|Jan 2015
References

References

  1. [1] JAMSHIDIM.: Large-scale systems: modeling, control and fuzzy logic, Prentice Hall, 1997.
    Search in Google Scholar
  2. [2] TIPSUWAN, Y.–CHOW, M.-Y.: Control methodologies in-networked control systems, Control Engineering Practice 11 No. 10 (2003), 1099-1111.
    Open DOISearch in Google Scholar
  3. [3] FARKAS, L'.–HNÁT, J.: Simulation of networked control systems using TrueTime, Proceedings of the 17th Annual Conference Technical Computing Prague, 2009.
    Search in Google Scholar
  4. [4] MOYNE, J. M.–TILBURY, D. M.: The emergence of industrial control networks for manufacturing control, diagnostics, and safety data, Proc. of the IEEE 95 No. 1 (2007), 29-47.
    Open DOISearch in Google Scholar
  5. [5] MENEZES, M.: Wireless technologies and the best solution to reduce the project costs (Bezdrôtové technológie a najlepšie riešenia na zní?zenie n´kladov projektu), AT&P Journal No. 7 (2008), 16-18. (in Slovak)
    Search in Google Scholar
  6. [6] TIAN, Y. CH.–YU, Z.-G.–FIDGE, C.-J.: Multifractal nature of network induced time delay in networked control systems, Physics Letters Section A: General, Atomic and Solid State Physics No. 361(1-2) (2007), 103-107.
    Open DOISearch in Google Scholar
  7. [7] WANG, S.–HUA, CH.–GUAN, X.: State Feedback Controller Design of Networked Control Systems with Time Delay in the Plant, Proceedings of the 25th Chinese Control Conference, 2006, pp. 2098-2102.
    Open DOISearch in Google Scholar
  8. [8] RICHARD, J. P.: Time-delay systems: an overview of some recent advances and open problems, Automatica 39 (2003), 1167-1694.
    Open DOISearch in Google Scholar
  9. [9] RAJU, B.: Time delay compensation schemes with application to networked control system, MTech Thesis, Department of Electrical Engineering, National Institute of Technology, Rourkella, (2009).
    Search in Google Scholar
  10. [10] HUA, J. et al: Time-delay compensation control of networked control systems using timestamp based state prediction, Proceedings of the 2008 ISECS International Colloquium on Computing, Communication, Control, and Management 2 (2008), 198-202.
    Search in Google Scholar
  11. [11] KIM, D. S. et al: Maximum allowable delay bounds of networked control systems, Control Eng. Practice 11 (2003), 1301-1313.
    Open DOISearch in Google Scholar
  12. [12] SHI, T. et al: Fuzzy immune PI control of networked control system based on ADW time-delay prediction, Fifth International Conference on Fuzzy Systems and Knowledge Discovery (2008), 76-80.
    Open DOISearch in Google Scholar
  13. [13] MAHMOUD, M. S.–SAIF, A.-W. A.: Robust quantized approach to fuzzy networked control systems, IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 No. 1 (2012), 71-81.
    Open DOISearch in Google Scholar
  14. [14] HUA, CH.–DING, S. X.: Decentralized networked control system design using T-S fuzzy approach, IEEE Transactions on Fuzzy Systems 20 No. 1 (2012), 9-21.
    Search in Google Scholar
  15. [15] DRAGOLJ, E. et al: Compensation of time-varying delay acting in networked control systems using adaptive simth predictor and parallel fuzzy-PI controller, Proceedings of the 2011 IEEE International Conference on Mechatronics, April 13-15, 2011, Istanbul, Turkey, (2011), 979-984.
    Search in Google Scholar
  16. [16] LIN, T-C.–ROOPAEI, M.: Based on interval type-2 adaptive fuzzy H1 tracking controller for SISO time-delay nonlinear systems, Journal of Commun Nonlinear Sci Numer Simulat 15 (2010), 4065-4075.
    Open DOISearch in Google Scholar
  17. [17] ABIYEV, R. H.–KAYNAK, O.: Type 2 Fuzzy Neural Structure for Identification and Control of Time-Varying Plants, IEEE Transactions on Industrial Electronics 57 No. 12 (2010), 4147-4159.
    Open DOISearch in Google Scholar
  18. [18] SHENG, L.–MA, X.: Stability analysis and controller design of interval type-2 fuzzy systems with time delay, International Journal of Systems Science (2012).
    Open DOISearch in Google Scholar
  19. [19] AZIMI-SADJADI, B.: Stability of Networked Control Systems in the Presence of Packet Losses, Proceedings of the 42nd IEEE Conference on Decision and Control 1 (2003), 676-681.
    Search in Google Scholar
  20. [20] YANG, G.–YU, Y.: ZigBee networks performance under WLAN 802.11 b/g interference, Proceedings of the 4th international conference on Wireless pervasive computing, Melbourne, Australia, (2009), 337-340.
    Search in Google Scholar
  21. [21] KOO, G. B. et al: Digital controller design for fuzzy systems with packet loss: Intelligent digital redesign approach, IEEE International Conference on Fuzzy Systems, June 27-30, 2011, Taipei, Taiwan, 1989-1993.
    Open DOISearch in Google Scholar
  22. [22] TSENG, CH.-L.–WANG, S.-Y.–LIN, S.-CH.–CHEN, Y.-Y.: Interval Type-2 Takagi-Sugeno Fuzzy Controller Design for a Class of Nonlinear Singular Networked Control Systems, Proceedings of 2012 International Conference on Fuzzy Theory and Its Applications, National Chung Hsing University, Taichung, Taiwan, Nov.16-18, (2012), 268-272.
    Search in Google Scholar
  23. [23] JAMMEH,E. A.–FLEURY,M.–WAGNER, CH.–HAGRAS, H.–GHANBARI, M.: Interval Type-2 Fuzzy Logic Congestion Control for Video Streaming Across IP Networks, IEEE Transactions on Fuzzy Systems 17 No. 5 (2009), 1123-1142.
    Open DOISearch in Google Scholar
  24. [24] ZADEH, L. A.: The concept of a linguistic variable and its application to approximate reasoning-1, Information Sciences 8 (1975), 199-249.
    Open DOISearch in Google Scholar
  25. [25] LIANG, Q.–MENDEL, J. M.: Interval type-2 fuzzy logic systems: theory and design, IEEE Trans. Fuzzy Syst. 8 No. 5 (2000), 535-550.
    Open DOISearch in Google Scholar
  26. [26] WU, D.–TAN, W. W.: A Simplified Type-2 Fuzzy Controller for Real-Time Control, ISA Transactions 15 No. 4 (2006), 503-516.
    Search in Google Scholar
  27. [27] WU, D.: On the Fundamental Differences between Interval Type-2 and Type-1 Fuzzy Logic Controllers, IEEE Transactions on Fuzzy Systems 20 No. 5 (2012), 832-848.
    Open DOISearch in Google Scholar
  28. [28] HWANG, J.–KWAK, H.–PARK, G.: Adaptive interval type-2 fuzzy sliding mode control for unknown chaotic system, Nonlinear dynamics 63 No. 3 (2011).
    Open DOISearch in Google Scholar
  29. [29] CASTILLO, O.–MELIN, P.: Type-2 Fuzzy Logic: Theory and Applications, Springer-Verlag, Berlin Heidelberg, 2008.
    Open DOISearch in Google Scholar
  30. [30] MENDEL, J. M.: Uncertain Rule-Based Fuzzy Logic Systems, Introduction and New Directions, Prentice-Hall, Upper Saddle River, NJ, 2001.
    Search in Google Scholar
  31. [31] PENGFEI, G.–XUEZHI, W.–YINGSHI, H.: The enhanced genetic algorithms for the optimization design, Third International Conference on Biomedical Engineering and Informatics 7 (2010), 2990-2994.
    Search in Google Scholar
DOI: https://doi.org/10.2478/jee-2014-0059 | Journal eISSN: 1339-309X (formerly 1335-3632) | Journal ISSN: 1335-3632
Journal RSS Feed
Language: English
Page range: 364 - 370
Submitted on: Oct 26, 2012
Published on: Jan 31, 2015
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Keywords:
networked control systems,
packet loss,
time delay,
true time,
type-2 fuzzy logic
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2015 Blaho Michal, Murgaš J´n, Viszus Eugen, Fodrek Peter, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 65 (2014): Issue 6 (November 2014)
Previous article
Next article