[Accellera (2002). System Verilog 3.1, www.eda.org/sv/SystemVerilog_3.1a.pdf.]Search in Google Scholar
[Al-Aubidy, K.M. (2010). FPGA-based fuzzy inference system for real-time embedded applications, International Journalof Real-Time Systems 1(1): 9-15.]Search in Google Scholar
[Atmel (2007). 8-bit AVR Microcontroller with 32K BytesIn-System Programmable Flash, 2503-avr-08/07 Edn., ATMEL, www.atmel.com/Images/doc2503.pdf.]Search in Google Scholar
[Baturone, I., Sánchez-Solano, S., Barriga, A. and Huertas, J.L. (1997). Implementation of CMOS fuzzy controllers as mixed-signal integrated circuits, IEEE Transactions onFuzzy Systems 5(1): 1-19.10.1109/91.554443]Search in Google Scholar
[Bhasker, J. (1998). Verilog HDL Synthesis a Practical Primer, Star Galaxy Publishing, Allentown, PA.]Search in Google Scholar
[Chmiel, M. and Hrynkiewicz, E. (2008). Fast operating bit-byte PLC, 17th World Congress of the International Federationof Automatic Control, Seoul, Korea, pp. 14810-14815.]Search in Google Scholar
[Chojcan, J. and Ł˛eski, J. (2001). Fuzzy Sets and Their Applications, Silesian University of Technology Press, Gliwice, (in Polish).]Search in Google Scholar
[Czogała, E. and Ł˛eski, 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 SoftComputing, 1998, Aachen, Germany, pp. 83-92.]Search in Google Scholar
[Czogała, E. and Pedrycz, W. (1985). Elements and Methodsof Fuzzy Set Theory, Polish Scientific Publishers, PWN, Warsaw.]Search in Google Scholar
[Di Nola, A., Pedrycz, W. and Sessa, S. (1984). Decomposition problem of fuzzy relations, International Journal of GeneralSystems 10(2-3): 123-133.10.1080/03081078508934876]Search in Google Scholar
[Di Nola, A., Pedrycz, W. and Sessa, S. (1985). When is a fuzzy relation decomposable into two fuzzy set, Fuzzy Sets andSystems 16(1): 87-90.10.1016/S0165-0114(85)80008-7]Search in Google Scholar
[Gupta, M.M., Kiszka, J.B. and Trojan, G.M. (1986). Multivariable structure of fuzzy control systems, IEEETransactions on Systems, Man and Cybernetics16(5): 638-656.10.1109/TSMC.1986.289309]Search in Google Scholar
[Hollstein, T., Halgamuge, S.K. and Glesner, M. (1996). Computer-aided design of fuzzy systems based on generic VHDL specifications, IEEE Transactions on Fuzzy Systems4(4): 403-417.10.1109/91.544301]Search in Google Scholar
[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.]Search in Google Scholar
[Hung-Ping, C. and Parug, T.-M. (1996). A new approach of multi-stage fuzzy logic inference, Fuzzy Sets and Systems78(1): 51-72.10.1016/0165-0114(95)00110-7]Search in Google Scholar
[Hurdon, H.D. (1993). The fuzzy logic expert fan controller, www.ecst.csuchico.edu/~juliano/Fuzzy/fuzzyfan.]Search in Google Scholar
[Kim, D. (2000). An implementation of fuzzy logic controller on the reconfigurable FPGA system, IEEE Transactions onIndustrial Electronics 47(3): 703-715.10.1109/41.847911]Search in Google Scholar
[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): 229-244.10.1016/S0165-0114(97)00199-1]Search in Google Scholar
[Kovaˇci´c, Z. and Bogdan, S. (2006). Fuzzy Controller DesignTheory and Applications, Taylor & Francis Group, LLC, New York, NY.]Search in Google Scholar
[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 FuzzySystems 3(3): 364-369.10.1109/91.413224]Search in Google Scholar
[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 Systems29(12): 1145-1159.10.1080/153250001753246871]Search in Google Scholar
[Minns, P. and Elliott, I. (2008). FSM-based Digital DesignUsing Verilog HDL, John Wiley & Sons, Ltd, New York, NY.10.1002/9780470987629]Search in Google Scholar
[Ollero, A. and Garcia-Cerezo, A.J. (1989). Direct digital control, auto-tuning and supervision using fuzzy logic, Fuzzy Setsand Systems 30(2): 135-153.10.1016/0165-0114(89)90076-6]Search in Google Scholar
[Palnitkar, S. (1996). Verilog HDL: A Guide to Digital Designand Synthesis, SunSoft Press, Upper Saddle River, NJ.]Search in Google Scholar
[Passino, K.M. and Yurkovich, S. (1998). Fuzzy Control, Addison-Wesley Longman, Inc., Menlo Park, CA.]Search in Google Scholar
[Patyra, M.J., Gartner, J.L. and Koster, K. (1996). Digital fuzzy logic controller: Design and implementation, IEEE Transactionson Fuzzy Systems 4(4): 439-459.10.1109/91.544304]Search in Google Scholar
[Piegat, A. (2005). A new definition of the fuzzy set, InternationalJournal of AppliedMathematics and Computer Science15(1): 125-140.]Search in Google Scholar
[Piegat, A. (2006). What is not clear in fuzzy control systems?, International Journal of Applied Mathematics and ComputerScience 16(1): 37-49.]Search in Google Scholar
[Rovatti, R., Guerrieri, R. and Baccarani, G. (1995). An enhanced two-level boolean synthesis methodology for fuzzy rules minimization, IEEE Transactions on FuzzySystems 3(3): 288-299.10.1109/91.413227]Search in Google Scholar
[Rutkowska, D., Pili´nski, M. and Rutkowski, L. (1997). NeuralNetworks, Genetic Algorithms and Fuzzy Systems, Polish Scientific Publishers, PWN, Warsaw.]Search in Google Scholar
[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 ofComputer Science and Network Security 10(8): 187-192.10.5120/1501-2018]Search in Google Scholar
[Samsung Electronics (1998). K6T4008C1B Family, 3rd Edn., www.100y.com.tw/pdf_file/K6T4008C1B-GP70.pdf.]Search in Google Scholar
[Siemens AG (1996). Simatic S7-Fuzzy Control, User Manual.]Search in Google Scholar
[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 Engineeringand Technology 1(5): 491-503.10.7763/IJET.2009.V1.90]Search in Google Scholar
[Togai InfraLogic, Inc. (1991). FC 110 Digital Fuzzy ProcessorDFPTM, Irvine, CA.]Search in Google Scholar
[Uppalapati, S. and Kaur, D. (2009). Design and implementation of a Mamdani fuzzy inference system on an FPGA, 28thNorth American Fuzzy Information Processing SocietyAnnual Conference, NAFIPS2009, Cincinnati, OH, USA, pp. 1-6.]Search in Google Scholar
[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.]Search in Google Scholar
[Wyrwoł, B. (2004a). Hardware Implementation of the Fuzzy InferenceSystem Using Programmable Logic Devices, Ph.D. thesis, Silesian University of Technology, Gliwice.]Search in Google Scholar
[Wyrwoł, B. (2004b). Modular fuzzy inference system: Compact defuzzyfication module, 7th Conference on ReprogrammableDigital Circuits, RUC’2004, Szczecin, Poland, pp. 217-224.]Search in Google Scholar
[Wyrwoł, B. (2008). Linguistic decomposition technique based on partitioning the knowledge base of the fuzzy inference system, Bulletin of the Polish Academy of Sciences: TechnicalSciences 56(1): 71-76.]Search in Google Scholar
[Wyrwoł, B. (2011). Using graph greedy coloring algorithms in the hardware implementation of the HFIS fuzzy inference system, Electrical Review 87(10): 64-67.]Search in Google Scholar
[Xilinx (2009). Synthesis and Simulation Design Guide, www.xilinx.com/support/documentation/sw_manuals/xilinx11/sim.pdf.]Search in Google Scholar
[Xilinx (2008). DS-001 Spartan II-2,5V FPGA Family, 2.8 Edn. www.xilinx.com/support/documentation/data_sheets/ds001.pdf.]Search in Google Scholar
[Yager, R.R. and Filev, D.P. (1994). Essential of Fuzzy Modellingand Control, John Wiley and Sons, New York, NY.]Search in Google Scholar
[Yamakawa, T. (1989). Stabilization of an inverted pendulum by a high-speed fuzzy logic controller hardware system, FuzzySets and Systems 32(2): 161-180.10.1016/0165-0114(89)90252-2]Search in Google Scholar
[Zbysi´nski, P. and Pasierbi´nski, J. (1992). ProgrammableDevices-First Steps, BTC Publishing House, Warsaw.]Search in Google Scholar
