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

[1] JAMSHIDIM.: Large-scale systems: modeling, control and fuzzy logic, Prentice Hall, 1997.Search in Google Scholar

[2] TIPSUWAN, Y.–CHOW, M.-Y.: Control methodologies in-networked control systems, Control Engineering Practice 11 No. 10 (2003), 1099-1111.10.1016/S0967-0661(03)00036-4Search in Google Scholar

[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] 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), 29-47.10.1109/JPROC.2006.887325Search in Google Scholar

[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] 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), 103-107.10.1016/j.physleta.2006.09.046Search in Google Scholar

[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. 2098-2102.10.1109/CHICC.2006.280924Search in Google Scholar

[8] RICHARD, J. P.: Time-delay systems: an overview of some recent advances and open problems, Automatica 39 (2003), 1167-1694.10.1016/S0005-1098(03)00167-5Search in Google Scholar

[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] 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] KIM, D. S. et al: Maximum allowable delay bounds of networked control systems, Control Eng. Practice 11 (2003), 1301-1313.10.1016/S0967-0661(02)00238-1Search in Google Scholar

[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), 76-80.10.1109/FSKD.2008.55Search in Google Scholar

[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), 71-81.10.1109/JETCAS.2012.2187403Search in Google Scholar

[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] 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] 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), 4065-4075.10.1016/j.cnsns.2010.01.029Search in Google Scholar

[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), 4147-4159.10.1109/TIE.2010.2043036Search in Google Scholar

[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).10.1080/00207721.2012.743056Search in Google Scholar

[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] 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] 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, 1989-1993.10.1109/FUZZY.2011.6007538Search in Google Scholar

[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] 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), 1123-1142.10.1109/TFUZZ.2009.2023325Search in Google Scholar

[24] ZADEH, L. A.: The concept of a linguistic variable and its application to approximate reasoning-1, Information Sciences 8 (1975), 199-249.10.1016/0020-0255(75)90036-5Search in Google Scholar

[25] LIANG, Q.–MENDEL, J. M.: Interval type-2 fuzzy logic systems: theory and design, IEEE Trans. Fuzzy Syst. 8 No. 5 (2000), 535-550.10.1109/91.873577Search in Google Scholar

[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] 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), 832-848.10.1109/TFUZZ.2012.2186818Search in Google Scholar

[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).10.1007/s11071-010-9817-0Search in Google Scholar

[29] CASTILLO, O.–MELIN, P.: Type-2 Fuzzy Logic: Theory and Applications, Springer-Verlag, Berlin Heidelberg, 2008.10.1007/978-3-540-76284-3Search in Google Scholar

[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] 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