Voir la notice de l'article provenant de la source Library of Science
@article{IJAMCS_2013_23_2_a17, author = {Wyrwo{\l}, B. and Hrynkiewicz, E.}, title = {Decomposition of the fuzzy inference system for implementation in the {FPGA} structure}, journal = {International Journal of Applied Mathematics and Computer Science}, pages = {473--483}, publisher = {mathdoc}, volume = {23}, number = {2}, year = {2013}, language = {en}, url = {http://geodesic.mathdoc.fr/item/IJAMCS_2013_23_2_a17/} }
TY - JOUR AU - Wyrwoł, B. AU - Hrynkiewicz, E. TI - Decomposition of the fuzzy inference system for implementation in the FPGA structure JO - International Journal of Applied Mathematics and Computer Science PY - 2013 SP - 473 EP - 483 VL - 23 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/IJAMCS_2013_23_2_a17/ LA - en ID - IJAMCS_2013_23_2_a17 ER -
%0 Journal Article %A Wyrwoł, B. %A Hrynkiewicz, E. %T Decomposition of the fuzzy inference system for implementation in the FPGA structure %J International Journal of Applied Mathematics and Computer Science %D 2013 %P 473-483 %V 23 %N 2 %I mathdoc %U http://geodesic.mathdoc.fr/item/IJAMCS_2013_23_2_a17/ %G en %F IJAMCS_2013_23_2_a17
Wyrwoł, B.; Hrynkiewicz, E. Decomposition of the fuzzy inference system for implementation in the FPGA structure. International Journal of Applied Mathematics and Computer Science, Tome 23 (2013) no. 2, pp. 473-483. http://geodesic.mathdoc.fr/item/IJAMCS_2013_23_2_a17/
[1] Accellera (2002). System Verilog 3.1, www.eda.org/sv/SystemVerilog_3.1a.pdf.
[2] Al-Aubidy, K.M. (2010). FPGA-based fuzzy inference system for real-time embedded applications, International Journal of Real-Time Systems 1(1): 9–15.
[3] Atmel (2007). 8-bit AVR Microcontroller with 32K Bytes In–System Programmable Flash, 2503–avr–08/07 Edn., ATMEL, www.atmel.com/Images/doc2503.pdf.
[4] Baturone, I., Sánchez-Solano, S., Barriga, A. and Huertas, J.L. (1997). Implementation of CMOS fuzzy controllers as mixed-signal integrated circuits, IEEE Transactions on Fuzzy Systems 5(1): 1–19.
[5] Bhasker, J. (1998). Verilog HDL Synthesis a Practical Primer, Star Galaxy Publishing, Allentown, PA.
[6] Chmiel, M. and Hrynkiewicz, E. (2008). Fast operating bit-byte PLC, 17th World Congress of the International Federation of Automatic Control, Seoul, Korea, pp. 14810–14815.
[7] Chojcan, J. and Łęski, J. (2001). Fuzzy Sets and Their Applications, Silesian University of Technology Press, Gliwice, (in Polish).
[8] Czogała, E. and Łęski, J. (1998). An equivalence of inference results under defuzzification using both conjunction and logical implication interpretation of fuzzy if-then rules, 6th European Congress on Intelligent Techniques and Soft Computing, 1998, Aachen, Germany, pp. 83–92.
[9] Czogała, E. and Pedrycz, W. (1985). Elements and Methods of Fuzzy Set Theory, Polish Scientific Publishers, PWN, Warsaw.
[10] Di Nola, A., Pedrycz, W. and Sessa, S. (1984). Decomposition problem of fuzzy relations, International Journal of General Systems 10(2–3): 123–133.
[11] Di Nola, A., Pedrycz, W. and Sessa, S. (1985). When is a fuzzy relation decomposable into two fuzzy set, Fuzzy Sets and Systems 16(1): 87–90.
[12] Gupta, M.M., Kiszka, J.B. and Trojan, G.M. (1986). Multivariable structure of fuzzy control systems, IEEE Transactions on Systems, Man and Cybernetics 16(5): 638–656.
[13] Hollstein, T., Halgamuge, S.K. and Glesner, M. (1996). Computer-aided design of fuzzy systems based on generic VHDL specifications, IEEE Transactions on Fuzzy Systems 4(4): 403–417.
[14] Hrynkiewicz, E. and Wyrwoł, B. (2000). Hardware implementation of the FITA fuzzy logic inference systems, Design and Diagnostics of Electronic Circuits and Systems, DDECS, 2000, Smolenice, Slovakia, pp. 169–173.
[15] Hung-Ping, C. and Parug, T.-M. (1996). A new approach of multi-stage fuzzy logic inference, Fuzzy Sets and Systems 78(1): 51–72.
[16] Hurdon, H.D. (1993). The fuzzy logic expert fan controller, www.ecst.csuchico.edu/˜juliano/Fuzzy/fuzzyfan.
[17] Kim, D. (2000). An implementation of fuzzy logic controller on the reconfigurable FPGA system, IEEE Transactions on Industrial Electronics 47(3): 703–715.
[18] Kim, D. and Cho, I.-H. (1999). An accurate and cost-effective COG defuzzifier without the multiplier and the divider, Fuzzy Sets and Systems 104(2): 229–244.
[19] Kovačić, Z. and Bogdan, S. (2006). Fuzzy Controller Design Theory and Applications, Taylor Francis Group, LLC, New York, NY.
[20] Lee, P.G., Kyun, K.L. and Jeon, G.J. (1995). An index of applicability for the decomposition method of multivariable fuzzy systems, IEEE Transactions on Fuzzy Systems 3(3): 364–369.
[21] Martins, A.P. and Carvalho, A.S. (2001). Fuzzy controllers with reduced rulebases and real-time capability for power systems supervision, Electric Power Components and Systems 29(12): 1145–1159.
[22] Minns, P. and Elliott, I. (2008). FSM-based Digital Design Using Verilog HDL, John Wiley Sons, Ltd, New York, NY.
[23] Ollero, A. and Garcia-Cerezo, A.J. (1989). Direct digital control, auto-tuning and supervision using fuzzy logic, Fuzzy Sets and Systems 30(2): 135–153.
[24] Palnitkar, S. (1996). Verilog HDL: A Guide to Digital Design and Synthesis, SunSoft Press, Upper Saddle River, NJ.
[25] Passino, K.M. and Yurkovich, S. (1998). Fuzzy Control, Addison-Wesley Longman, Inc., Menlo Park, CA.
[26] Patyra, M.J., Gartner, J.L. and Koster, K. (1996). Digital fuzzy logic controller: Design and implementation, IEEE Transactions on Fuzzy Systems 4(4): 439–459.
[27] Piegat, A. (2005). A new definition of the fuzzy set, International Journal of Applied Mathematics and Computer Science 15(1): 125–140.
[28] Piegat, A. (2006). What is not clear in fuzzy control systems?, International Journal of Applied Mathematics and Computer Science 16(1): 37–49.
[29] Rovatti, R., Guerrieri, R. and Baccarani, G. (1995). An enhanced two-level boolean synthesis methodology for fuzzy rules minimization, IEEE Transactions on Fuzzy Systems 3(3): 288–299.
[30] Rutkowska, D., Piliński, M. and Rutkowski, L. (1997). Neural Networks, Genetic Algorithms and Fuzzy Systems, Polish Scientific Publishers, PWN, Warsaw.
[31] Sakthivel, G., Anandhi, T.S. and Natarajan, S.P. (2010). Design of optimized fuzzy logic controller for area minimization and its FPGA implementation, International Journal of Computer Science and Network Security 10(8): 187–192.
[32] Samsung Electronics (1998). K6T4008C1B Family, 3rd Edn., www.100y.com.tw/pdf_file/K6T4008C1B-GP70.pdf.
[33] Siemens AG (1996). Simatic S7—Fuzzy Control, User Manual.
[34] Sulaiman, N., Obaid, Z.A., Marhaban, M.H. and Hamidon, M.N. (2009). FPGA-based fuzzy logic—design and applications: A review, International Journal of Engineering and Technology 1(5): 491–503.
[35] Togai InfraLogic, Inc. (1991). FC 110 Digital Fuzzy Processor DFP, Irvine, CA.
[36] Uppalapati, S. and Kaur, D. (2009). Design and implementation of a Mamdani fuzzy inference system on an FPGA, 28th North American Fuzzy Information Processing Society Annual Conference, NAFIPS2009, Cincinnati, OH, USA, pp. 1–6.
[37] Walichiewicz, Ł. (1984). Decomposition of linguistic rules in the design of a multi-dimensional fuzzy control algorithm, Cybernetics and Systems Research, Vienna, Austria, Vol. 2, pp. 557–561.
[38] Wyrwoł, B. (2004a). Hardware Implementation of the Fuzzy Inference System Using Programmable Logic Devices, Ph.D. thesis, Silesian University of Technology, Gliwice.
[39] Wyrwoł, B. (2004b). Modular fuzzy inference system: Compact defuzzyfication module, 7th Conference on Reprogrammable Digital Circuits, RUC’2004, Szczecin, Poland, pp. 217–224.
[40] Wyrwoł, B. (2008). Linguistic decomposition technique based on partitioning the knowledge base of the fuzzy inference system, Bulletin of the Polish Academy of Sciences: Technical Sciences 56(1): 71–76.
[41] Wyrwoł, B. (2011). Using graph greedy coloring algorithms in the hardware implementation of the HFIS fuzzy inference system, Electrical Review 87(10): 64–67.
[42] Xilinx (2009). Synthesis and Simulation Design Guide, www.xilinx.com/support/documentation/sw_manuals/xilinx11/sim.pdf.
[43] Xilinx (2008). DS-001 Spartan II—2,5V FPGA Family, 2.8 Edn. www.xilinx.com/support/documentation/data_sheets/ds001.pdf.
[44] Yager, R.R. and Filev, D.P. (1994). Essential of Fuzzy Modelling and Control, John Wiley and Sons, New York, NY.
[45] Yamakawa, T. (1989). Stabilization of an inverted pendulum by a high-speed fuzzy logic controller hardware system, Fuzzy Sets and Systems 32(2): 161–180.
[46] Zbysiński, P. and Pasierbiński, J. (1992). Programmable Devices—First Steps, BTC Publishing House, Warsaw.