Chaotic analysis and adaptive synchronization for a class of fractional order financial system

Abstract In this paper, the generation conditions of chaotic behavior are discussed and the adaptive synchronization control method for a class of fractional order financial system is proposed. Based on the stability theory of fractional order system, the necessary conditions for the system to generate chaotic attractors are analyzed by the equilibrium points and the corresponding eigenvalues. In order to solve the synchronization problem of financial system with fractional order, a novel adaptive synchronization method is proposed based on the generalized Lyapunov stability theory, which is simple in structure and is easy to implement. Finally, the numerical simulations are exploited to verify the effectiveness and feasibility of the proposed method.

[1]  S. Bhalekar,et al.  Synchronization of different fractional order chaotic systems using active control , 2010 .

[2]  Praveen Agarwal,et al.  Non-standard finite difference and Chebyshev collocation methods for solving fractional diffusion equation , 2018, Physica A: Statistical Mechanics and its Applications.

[3]  I. Podlubny Fractional differential equations , 1998 .

[4]  Shantanu Das,et al.  Multi-objective Active Control Policy Design for Commensurate and Incommensurate Fractional Order Chaotic Financial Systems , 2015, ArXiv.

[5]  Yi Chai,et al.  Control and Synchronization of Fractional-Order Financial System Based on Linear Control , 2011 .

[6]  Andrew Y. T. Leung,et al.  Anti-synchronization between identical and non-identical fractional-order chaotic systems using active control method , 2014 .

[7]  Zhenbo Li,et al.  Synchronization of a chaotic finance system , 2011, Appl. Math. Comput..

[8]  Yigang He,et al.  Generation and circuit implementation of fractional-order multi-scroll attractors , 2016 .

[9]  Sara Dadras,et al.  Control of a fractional-order economical system via sliding mode , 2010 .

[10]  Marius-F. Danca,et al.  Suppressing chaos in discontinuous systems of fractional order by active control , 2014, Appl. Math. Comput..

[11]  Dumitru Baleanu,et al.  On the adaptive sliding mode controller for a hyperchaotic fractional-order financial system , 2018 .

[12]  Baogui Xin,et al.  Finite-time stabilizing a fractional-order chaotic financial system with market confidence , 2015 .

[13]  Naser Pariz,et al.  Synchronization of a Novel Class of Fractional-Order Uncertain Chaotic Systems via Adaptive Sliding Mode Controller , 2016 .

[14]  K. Diethelm,et al.  Fractional Calculus: Models and Numerical Methods , 2012 .

[15]  Vijay K. Yadav,et al.  Comparative study of synchronization methods of fractional order chaotic systems , 2016 .

[16]  Zhao Ling-Dong,et al.  A novel stablility theorem for fractional systems and its applying in synchronizing fractional chaotic system based on back-stepping approach , 2009 .

[17]  Vijay K. Yadav,et al.  Synchronization between fractional order complex chaotic systems , 2017 .

[18]  Saeed Balochian,et al.  Synchronization of Economic Systems with Fractional Order Dynamics Using Active Sliding Mode Control , 2014 .

[19]  Subir Das,et al.  Synchronization of fractional order chaotic systems using active control method , 2012 .

[20]  A. Boulkroune,et al.  Fuzzy adaptive synchronization of a class of fractional-order chaotic systems , 2015, 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT).

[21]  M. Haeri,et al.  Synchronization of chaotic fractional-order systems via active sliding mode controller , 2008 .

[22]  Wei-Ching Chen,et al.  Nonlinear dynamics and chaos in a fractional-order financial system , 2008 .

[23]  Jinde Cao,et al.  Active control strategy for synchronization and anti-synchronization of a fractional chaotic financial system , 2017 .