A new method to control chaos in an economic system

被引:47
作者
Du, Jianguo [1 ,2 ]
Huang, Tingwen [3 ]
Sheng, Zhaohan [2 ]
Zhang, Haibin [1 ,2 ]
机构
[1] Jiangsu Univ, Sch Business Adm, Zhenjiang 212013, Peoples R China
[2] Nanjing Univ, Sch Management Sci & Engn, Nanjing 210093, Peoples R China
[3] Texas A&M Univ Qatar, Doha, Qatar
基金
中国国家自然科学基金;
关键词
Duopoly games; Chaos control; Phase space compression; Limiter method; Performance measure; DUOPOLY GAME; DYNAMICS; MODEL; SYNCHRONIZATION;
D O I
10.1016/j.amc.2010.07.036
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, the method to control chaos by using phase space compression is applied to economic systems. Because of economic significance of state variable in economic dynamical systems, the values of state variables are positive due to capacity constraints and financial constraints, we can control chaos by adding upper bound or lower bound to state variables in economic dynamical systems, which is different from the chaos stabilization in engineering or physics systems. The knowledge about system dynamics and the exact variety of parameters are not needed in the application of this control method, so it is very convenient to apply this method. Two kinds of chaos in the dynamic duopoly output systems are stabilized in a neighborhood of an unstable fixed point by using the chaos controlling method. The results show that performance of the system is improved by controlling chaos. In practice, owing to capacity constraints, financial constraints and cautious responses to uncertainty in the world, the firm often restrains the output, advertisement expenses, research cost etc. to confine the range of these variables' fluctuation. This shows that the decision maker uses this method unconsciously in practice. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:2370 / 2380
页数:11
相关论文
共 35 条
  • [31] Optimized chaos control with simple limiters
    Wagner, C
    Stoop, R
    [J]. PHYSICAL REVIEW E, 2001, 63 (01):
  • [32] Exchange rate dynamics, central bank interventions and chaos control methods
    Wieland, C
    Westerhoff, FH
    [J]. JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2005, 58 (01) : 117 - 132
  • [33] An improved particle swarm optimization algorithm combined with piecewise linear chaotic map
    Xiang, Tao
    Liao, Xiaofeng
    Wong, Kwok-wo
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2007, 190 (02) : 1637 - 1645
  • [34] Control of turbulence in a two-dimensional coupled map lattice
    Zhang, X
    Shen, K
    [J]. PHYSICS LETTERS A, 2002, 299 (2-3) : 159 - 165
  • [35] Controlling spatiotemporal chaos via phase space compression
    Zhang, X
    Shen, K
    [J]. PHYSICAL REVIEW E, 2001, 63 (04):