一类改进的混沌金融系统的混沌同步研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
金融系统是一个由众多要素组成的、开放的、远离平衡态的、极其复杂的非线性系统.在这个非线性系统中,随着各种参数的变化,系统的运动状态由于失稳而出现混沌状态是相当普遍的现象.因此,金融系统的同步发展是众多经济学家面临的一个实际问题.本论文对混沌同步控制问题进行了简要的介绍,在现有同步控制基础上,做了如下一些创新工作:
     (1)在一类金融混沌系统的基础上,通过对这类经济模型的分析研究发现,此类经济模型不能真实、准确的反映经济规律的变化,为了更好的反映经济规律的变化,从而提出了一类改进的金融混沌系统.针对这一类改进的金融混沌系统,提出了一种以部分状态变量作为发射信号的混沌系统全局指数同步方法.该方法将驱动系统和响应系统的误差系统分成不同的两个部分.应用微分方程的稳定性理论,分析了系统由局部指数稳定达到整体指数同步需要的条件,并通过数值仿真验证了此方法的有效性;然后提出了一种基于全局指数吸引集的混沌同步方法,引入全局指数吸引集的定义,针对本文所提出的一类改进的混沌金融系统,对其双时滞的混沌同步进行了研究,数值仿真验证了此方法的有效性.
     (2)以Routh-Hurwitz判据和Lyapunov稳定性为理论基础,针对一类改进的金融混沌系统,通过设计有效地控制器,对其在参数确定、参数不确定情况下的函数投影同步进行了研究.在参数确定的情况下,利用矩阵方程提出了一种混合反馈控制同步方法、一种基于特殊矩阵结构的反馈控制同步方法;在参数不确定的情况下,利用矩阵方程提出了一种能动反馈控制同步方法.这几种方法的创新之处在于不必去构造繁杂的李雅普诺夫函数,而是将驱动系统与响应系统的同步控制问题转化为误差系统在原点的渐近稳定性问题.论文首先在理论上分析这种方法的可行性,再通过数值试验进行仿真分析,所有结果均证明了几种方法的有效性.
Financial system is an open and complicated nonliear system consisting of many elements, far away from equilibrium points. In this kind of complicated nonliear system, chaotic state appearing with the change of different parameters is a common phenomenon, due to the unbalanced condition of the system. Hence, financial synchronization is a parctical issue that econormists will confront. In this paper, we give a concise description on synchronization of chaotic systems and get the following new results:
     (1)Firstly, put forward a kind of modified chaotic finance system based on a kind of chaotic finance system.Then put forward a globally exponentially synchronization method for the kind of modified chaotic finance system with partial state variables as transmission signal. This method is combined with stability theory of differential equation theory, it turns the error system between driving-system and respone-system into two different parts, theory analysis shows the necessary condition of this globally exponentially synchronization method, numerical simulations show the effectiveness of this method. Then we put forward a synchronization method based on globally exponentially attractive set, pull in the definition of globally exponentially attractive set, applying this method to the kind of modified chaotic finance system and numerical simulations show the effectiveness of this method.
     (2)Based on Lyapunov stable theory and Routh-Hurwitz critrion theory, some effective controllers are designed for the global asymptotic synchronization on different conditions. This paper investigates the function projective synchronization of the kind of modified chaotic finance systems. When the system parameters are known, the hybrid feedback control and a method based on special matrix structure are adopted respectively to realize the synchronization of the chaotic finance system. When the system parameters are unknown, the active control is extended and introduced to realize the synchronization. Numerical simulations show the validity and the feasibility of the synchronization schemes. The results show that papers from a theoretical analysis of the feasibility of this approach, and then test by numerical simulation results show that this method is simple and design facilitate, results show the validity and the feasibility of the synchronization schemes.
引文
[1]Lorenz EN. Deterministic non-periodic flows [J].J Atmos Sci.1963,20:130-141
    [2]卢侃,孙建华.混沌学传奇[M].上海:上海翻译出版公司,1991
    [3]May, R. Simple mathematical models with very complicated dynamics [J]. Nature.1976, 261
    [4]文风华.行为金融学的风险管理论研究[J].外国经济与管理.2002,19(2):11-17
    [5]Lu J A, Tao C H. Parameter identification and tracking of a unified system [J]. Chin. Phys. Lett.2002,19(5):632
    [6]Wu X Q, Lu J A. Adaptive control of uncertain LU system [J]. Chaos, Solitons and fractals. 2004,22:375-38
    [7]Day, R.H. Complex economic dynamics [M]. Boston:MIT Press,1994
    [8]朱宏雄,张立宏.经济数据中存在混沌吗[J].自然杂志.1993,15(9-10):12-16
    [9]胡岗,萧井华,郑志刚.混沌控制[M].上海:上海科技教育出版社,2000
    [10]Pecora L.M, Carroll T. L. Synchronization in chaotic system [J]. Phys. Rev. Lett.1990,64: 821-824
    [11]Too, Y, Chua, L.O. Secure communication via chaotic parameter modulation[J]. IEEE Trans.Circuits Syst.1996,43(9):817-819
    [12]Zhong G Q, Ayrom F. Periodicity and chaos in Chua's circuit. IEEE Trans On CAS.1985, 32(5):501-503
    [13]叶振飞等.金融危机的内在机理分析和混沌控制方法[J].同济大学学报.2002,30(12):1532-1536
    [14]Liu, Y. Q, Liu, J, X. The stability of linear time dependent continuous large-scale systems [J]. Advances in Modeling and Simulations.1987,9(2):9-37
    [15]Ott E, Grebogi C, and Yorke J. A. Controlling chaos. Phys Rev Lett.1990,64:1196-1199
    [16]Peters, E.E. Chaos and Order in the Capital Market[M] John Wiley &Sons Inc,1996
    [17]Wolf, A, Swift, J. B. Determining Lyapunov exponents from a time series[J]. Physica D. 1985,16:285-317
    [18]Osipov G, Glatz L, Troger H. Suppressing chaos in the Duffing oscillator by impulsive actions. Chaos Soliton Fract.1998,9:307-321
    [19]Guoliang Cai, Zhou W H, and Tan Z M. Stabilization of higher periodic Orbits of discrete-time chaotic system. International Journal of Nonlinear Science.2007,4:118-126
    [20]Guoliang Cai, Song Zheng, Lixin Tian. Adaptive control and synchronization of a new hyperchaotic Lorenz system with unknown parameters. Chinese Physics B.2008,17: 2412-2419
    [21]Michace, S. Chaotic Dynamics and Bifuration in a Macro Mode [J]. Journal of Economic Dynamics and Control.1980,2:353-376
    [22]Day, R. H. Irregularge growth cycles [J].The American Economic Review.1982,72(3): 406-414
    [23]Day, R. H. The emergence of chaos from classical economic growth [J]. The Quarterly Journal of Economics.1983,98(2):201-231
    [24]Day, R. H. Rational choice and erratic behavior [J].Review of Economic Studies.1981,48: 459-471
    [25]Michele. B. Paths of Optimal Accumulation in Two-Sector Models [M]. Economic Complexity. Chaos, Sunsports, Bubbles and Non-linearities, Cambrige University Press, 1986
    [26]Rosser, J, B. Long wave chaos and systemic economic transformation [J]. World Future. 1994,39(2):197-207
    [27]Baumol, Wolff, E.N. On Interindustry Difference in Abosulute Productivity [J]. Journal of Political Economy, University of Chicago Press.1984,92(6):1017-1034
    [28]Baumal, W. J. Benhabib, J. Chaos Significance [J]. Journal of Economic Perspective.1989, 1:77-105
    [29]Feichtinger, G., Kopel, M. Chaos in Nonlinear Dynamical Systems Exemplified by an R&D Model. European Journal of Operational Reseach.1993,63:145-159
    [30]Kass, L,. Stabilizing Chaos in a Dynamical Macroeconomic Model [J]. Journal of Economic Behavior &Organization.1998,33:313-332
    [31]Holyst, J. A., Rbanowicz, U.K. Chaos control in economical model by time-delayed feedback method [J]. Physics A.2000,287:587-598
    [32]拉姆米.股票市场:气泡,发射性及混沌[M].焦作:经济科学出版社,1987,5
    [33]Moez, F. An adaptive chaos synchronization scheme applied to secure communications [J]. Chaos, Solitions and Fractals.2003,18(1):141-148
    [34]Papri, S., Santo, B. Chaos signal communications and parameter estimate [J]. Phys Lett A. 2004,326:133-139
    [35]黄登仕,李后强.非线性经济学的理论和方法[M].成都:四川大学出版社,1993:55-60
    [36]徐寅峰.经济模型及经济混沌[J].西安交通大学学报.1994,28(3):83-86
    [37]马军海,盛昭瀚,陈春旺.经济时序动力系统的分形及混沌特性研究[J].系统工程学报.2006,15(1):13-18
    [38]杜建国,盛昭瀚,姚洪兴.一类混沌经济模型的阀值控制研究[J].系统工程理论与实践.2004,10:27-32
    [39]李煜,盛昭瀚,陈国华.混沌经济系统的控制优化[J].中国管理科学.2003,3:66-71
    [40]杜建国,盛昭瀚,姚洪兴.一类混沌经济模型的阀值控制研究[J].系统工程理论与实践.2004,20(4):335-343
    [41]宋银芳.一类混沌金融系统的反馈控制[J].重庆邮电大学学报,2006,18(6):796-799
    [42]丁娟,姚洪兴.一类混沌金融系统的增益控制[J].江苏大学学报.2004,5(6):500-504
    [43]姚洪兴,吴承尧,刘新芝,丁娟,徐峰.一类金融古诺混沌模型的分析与控制[J].系统工程理论与实践.2007,5:55-62
    [44]姚洪兴,石桃丽.一类金融市场模型的混沌控制[J].控制系统.2007,23(9):51-57
    [45]温红梅,姚凤阁.金融风险系统混沌效应的分析与控制[J].中国管理科学.2007,15:186-190
    [46]关新平,范正平,陈彩莲,华长春.混沌控制及其在保密通信中的应用[M].北京:国防工业出版社,2002,10
    [47]王东生.混沌、分形及其应用[M].安徽:中国科技大学出版社,1995
    [48]Huberman, B. A., Lumer, E. Dynamics of adaptive systems [J]. IEEE Trans on Circuits Systems-Ⅰ.1990,37(4):547-550
    [49]Chen, G. Dong, X. On feedback control of chaotic nonlinear dynamic systems [J]. Int J of Bifurcations & Chaos.1992,2(2):407-411
    [50]Ushio, t, Yamamo to, S. Delayed feedback control with nliear stimation in Chaotic discrete-time systems [J]. Physics Letters A.1998,247(2):112-118
    [51]Chen, G.,Yu, X. On time-delayed feedback control of chaotic systems [J]. IEEE Trans on Circuitsystem-1.1999,46(6):767-772
    [52]刘峰,穆肇骊,邱祖廉.R?ssler混沌系统的脉冲同步[J].物理学报.1999,48(9):198-203
    [53]王耀南.混沌系统的动态神经网络自适应控制[J].电子信息学报.2005,27(1):143-145
    [54]吴忠强,奥顿,刘坤.基于遗传算法的混沌系统模糊控制[J].物理学报.2004,53(1):21-24
    [55]厉小润,赵光宙.参数未知混沌动力学系统滑模变结构同步控制研究[J].电路与系统学报.2003,89(3):36-40
    [56]Femat, R., Jauregui, Ortiz, R. A chaos-based communication scheme via robust asymptotic Feedback [J]. IEEE Trans. Circuits and Systems-Ⅰ.2001,48(10):1161-1169
    [57]赵辽英.混沌同步控制及在保密通信中的应用[D].博士学位论文.2004,5
    [58]王德佳,周福才,朱伟勇.上证综合指数混沌模型的动力学特性分析[J].东北大学学报(自然科学版).2002,23(4):311-314
    [59]赵华.混沌理论在经济中的应用研究[D]. 厦门大学博士学位论文.2005
    [60]叶中行,杨利平.上证指数的混沌特性分析[J].上海交通大学学报.1998,32(3):129-132
    [61]高红兵,潘瑾, 陈宏民.我国证券市场混沌的判据[J].系统工程.2000,18(6):28-32
    [62]Bajo, Rubio,O., Fernandez, Rodriguez, F., Sosvilla, Rivem, S. Chaotic behavior is exchange rateseries:first results for peseta-United States dollar case[J]. Economics Letters.1992, 39(2):207-211
    [63]Hsieh, David, A. Modeling beteroscedasticity in daily foreign-exchange rates [J]. Journal of Business Economic Statistics.1989,7:307-317
    [64]孙梅,田立新.一类混沌金融系统的自适应同步[J].江苏大学学报(自然科学版).2005,26(6):488-491
    [65]X. Liao, H. Luo. Positive Invariant Set and the Globally exponentially Attractive Set of Lorenz system Group. Science in China-E.2007,37:757-769
    [66]X. Liao. New results for Globally Attractive Set and Positive Invariant Set of Lorenz System and Application of Chaos control and synchronization. Science in China-E.2004,34: 1404-1419
    [67]Lixin Yang, Yandong Chu,et al. Chaos synchronization in autonomous chaotic system via hybrid feedback control. Chaos, Solitons & Fractals.2009,41:214-223
    [68]Jianbing Hu, Yan Han, Lingdong Zhao. Synchronizing chaotic systems using control based on a special matrix structure and extending to fractional chaotic systems. Commun Nonlinear Sci Numer Simul.2010,15:115-123
    [69]Jun-hai Ma, Yu-shu Chen. Study for the Bifurcation Topological Structure and the Global Complicated Character of a Kind of Non-Linear Finance System (Ⅰ). Applied Mathematics and Mechanics.2001,22(11):1119-1128
    [70]Jun-hai Ma, Yu-shu,Chen. Study for the Bifurcation Topological Structure and the Global Complicated Character of a Kind of Non-Linear Finance System (Ⅱ). Applied Mathematics and Mechanics.2001,22(11):1236-1241