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Applications of Continuous-time Fractional Order Chapter | 14  439

























             FIGURE 14.16 FPGA block diagram for FO multiscroll attractor (Tolba et al., 2017).

                                                 L
                                                X
                        5 jxðt k21 Þj 2 rzðt k21 ÞÞh 2  w ðq 3 Þ zðt k2j Þ;
                                            q 3
                                                    j
                      z t k  ð                                       ð14:76cÞ
                                                j51
                                       0
                                          0      z , s 0
                                       B  d 1  s 0 , z , s 1
                                 GðzÞ 5  B              ;            ð14:76dÞ
                                          ^
                                       @
                                         d N21  z , s N21
             where m and r are constants and GðzÞ is a staircase piecewise linear function.
             q i , i 5 1; 2; 3 are the fractional orders of the system and L is the window size
             of past states. Fig. 14.16 shows the block diagram for FPGA implementation
             of the system in Eq. (14.76a d). The GL block represents the last summa-
             tion term in each equation. It consists of two parts: a look up table (LUT)
             and a dot product of row and column vectors. The system was implemented
             on Xilinx FPGA Virtex 5 XC5VLX50T. It is quite interesting how the usual
             system parameters in addition to the step size h and windows size L can
             affect the behavior of the scrolls and also their corresponding MLE. This
             make the FOCS even more tunable (Tolba et al., 2017).

             14.9 CONCLUSION

             This chapter has made a quick overview of the applications of FOCS in vari-
             ous scientific and engineering fields. The study of chaos continues to be an
             exciting part of studying nonlinear dynamical system. It can be seen that in
             some applications chaotic behavior is an advantage while in others it has to
             be avoided. The addition of fractional derivatives in the description of cha-
             otic systems has increased its complexity and flexibility. This is due to the
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