Type-2 Fuzzy Kalman Hybrid Application for Dynamic Security Monitoring Systems based on Multiple Sensor Fusion

[1]M. Zohdy, A. Khan, “Global Optimization of Stochastic Multivariable Functions”: American Control Conference, pp. 2339, 1993. Search in Google Scholar

[2]H. Hujun and Z. Yaning, “Multi-source Data Fusion Technology and Its Application in Geological and Mineral Survey”: Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference, pp. 1-6, 2010. Search in Google Scholar

[3]D. L. Hall and J. Llinas, “An Introduction to Multisensor Data Fusion”: Circuits and Systems, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on, pp. 537-540, 1998. Search in Google Scholar

[4]Q. Wu, D. Ferebee, Y. Lin and D. Dasgupta “An Integrated Cyber Security Monitoring System Using Correlation-based Techniques”: System of Systems Engineering, 2009. SoSE 2009. IEEE International Conference, 2009. Search in Google Scholar

[5]R. Tenney and N. Sandell, “Detection with distributed sensors,”: IEEE Trans. Aerospace and Electronic Systems, vol. AES-17, pp. 501–510, July 1981.10.1109/TAES.1981.309178 Search in Google Scholar

[6]T. Dakhlallah, M. Zohdy and O. Salim, “Application of Hyper-Fuzzy Logic Decisions for A rd Security Monitoring System,”: 2011 3 International Conference on Computer and Automation Engineering (ICCAE 2011), pp. V1-387, 2011. Search in Google Scholar

[7]LV-MaxSonar®-EZ0™ High Performance Sonar Range Finder. MaxBotix, MaxSonar & EZ0 are trademarks of MaxBotix Inc. 2005. Search in Google Scholar

[8]CSI 430 SpeedVueTM Laser Speed Sensor. Emerson Process Management.2009. Search in Google Scholar

[9]MiniVLS nL Series Optical Speed/ Phase Sensors VLS nL, Compact Instruments. Search in Google Scholar

[10]Tag-it HF-I Standard, 13.56 MHZ, Transponder Inlays, ISO/IEC 15693 and ISO/IEC 180003 global open standards, Texas Instruments, 2005. Search in Google Scholar

[11]Smart card SCC-3, 3.125khz+UHF EPC GEN2, Rui Yue RFID Co., LTD., 2006. Search in Google Scholar

[12]Albert Leon-Garcia, ‘Probability and Random Processes for Electrical Engineering’, 2nd Edition, Pearson/Prentice Hall (2008) . Search in Google Scholar

[13]V. Subramanian, T. F. Burks and W. E. Dixon, “Sensor Fusion Using Fuzzy Logic Enhanced Kalman Filter For Autonomous Vehicle Guidance In Citrus Groves”, transaction of ASABE (American Society of Agricultural and Biological Engineers), vol 52(5), 2009.10.13031/2013.29121 Search in Google Scholar

[14]G. Welch, G. Bishop, “An Introduction to the Kalman Filter,” University of North Carolina at Chapel Hill Department of Computer Science, 2001. Search in Google Scholar

[15]R. C. Luo and C. Yih, “Multisensor Fusion and Integration: Approaches, Applications and Future Research Directories”. Department of Electrical Engineering, National Chung Cheng University. IEEE Sensors Journal, Vol. 2, No. 2, 2002.10.1109/JSEN.2002.1000251 Search in Google Scholar

[16]O. Castilo, P. Mellin, ‘Type-2 Fuzzy Logic: Theory and Applications’, Tijuana Institute of Technology, Division of Graduate Studies., vol.223, 2008. Search in Google Scholar

[17]Q. Liang and J. Mendel, “Interval Type-2 Fuzzy Logic Systems: Theory and Design”: IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 8, NO. 5, OCTOBER 2000.10.1109/91.873577 Search in Google Scholar

[18]J. Mendel, ‘Uncertain Rule-based fuzzy logic systems: Introduction and New Directions’, NJ: Prentice-Hall, 2001. Search in Google Scholar

[19]H. Youpeng, L. Lin and Z. Yongfeng ; “A Hetrogenous Sensors Track-to-Track Correlation Algorithm Based on Fuzzy Numbers Similarity Degree”: Information and Computing Science, 2009. ICIC '09. Second International Conference, pp. 191, 2009.10.1109/IFITA.2009.214 Search in Google Scholar

[20]J. R. Castro, O. Castillo and P. Melin, “An Interval Type-2 Fuzzy Logic Toolbox for Control Applications,”: International Conference on Fuzzy Systems, pp. 1-6, 2007.10.1109/FUZZY.2007.4295341Search in Google Scholar