Page 384 - Mathematical Techniques of Fractional Order Systems
P. 384

Chapter 13





             On the Fractional Order


             Generalized Discrete Maps



                           1
                                           2
             Wafaa S. Sayed , Samar M. Ismail , Lobna A. Said 3
             and Ahmed G. Radwan  1,3
             1                                    2
              Faculty of Engineering, Cairo University, Giza, Egypt, Faculty of Information Engineering
                                                             3
             and Technology (IET), German University in Cairo (GUC), Cairo, Egypt, Nanoelectronics
             Integrated Systems Center (NISC), Nile University, Cairo, Egypt
             13.1 INTRODUCTION

             During the last few decades, fractional calculus has become a powerful tool
             in describing the dynamics of complex systems. It has been emerged in
             many disciplines such as in control (Luo and Chen, 2012; Rajagopal et al.,
             2017; Azar et al., 2017a), analog oscillators (Said et al., 2016c,d, 2017), fil-
             ters (Said et al., 2016a,b), bio-impedance modeling (AboBakr et al., 2017;
             Freeborn, 2013; Yousri et al., 2017), supercapacitor modeling (Elwakil et al.,
             2017), stability analysis (Radwan et al., 2009), and chaotic systems (Radwan
             et al., 2014; Tolba et al., 2017; Ouannas et al., 2017b,a,c).
                The Gru ¨nwald Letnikov’s (GL) definition for the fractional derivative is
             described by (Podlubny, 1999):
                                       N
                          α          1  X    i  Γðα 1 1Þ
                         D fðxÞ 5 lim     ð21Þ           fðx 2 ihÞ;    ð13:1Þ
                          x
                                 h-0 h α      Γðα 2 i 1 1Þ
                                       n51
             where ðm 2 1Þ , α , m, and m is an integer. The GL definition is preferred
             in discrete applications. The fractional order (FO) parameter α adds extra
             degrees of freedom which increases the flexibility of any design. Numerical
             and analytical methods have been developed to study the FO differential
             equations (El-Sayed et al., 2004). The fractional discrete derivatives were
             investigated by Atici and Eloe (2009) and Holm (2011), offering a great
             opportunity to powerfully study the dynamics of discrete systems.
                Chaos is an interesting nonlinear phenomenon that has grabbed a great
             attention in the last three decades (Radwan et al., 2016). Chaotic systems are
             highly sensitive to initial conditions, implementation and system parameters.
             A small deviation in any of the system parameters leads to a huge change in


             Mathematical Techniques of Fractional Order Systems. DOI: https://doi.org/10.1016/B978-0-12-813592-1.00013-1
             © 2018 Elsevier Inc. All rights reserved.                   375
   379   380   381   382   383   384   385   386   387   388   389