Study on the Inherent Complex Features and Chaos Control of IS–LM Fractional-Order Systems
AbstractBased on the traditional IS–LM economic theory, which shows the relationship between interest rates and output in the goods and services market and the money market in macroeconomic. We established a four-dimensional IS–LM model involving four variables. With the Caputo fractional calculus theory, we improved it into a fractional order nonlinear model, analyzed the complexity and stability of the fractional order system. The existences conditions of attractors under different order conditions are compared, and obtain the orders when the system reaches a stable state. Have the detail analysis on the dynamic phenomena, such as the strange attractor, sensitivity to initial values through phase diagram and the power spectral. The order changes in two ways: orders changes synchronously or single order changes. The results show regardless of which the order situation is, the economic system will enter into multiple states, such as strong divergence, strange attractor and the convergence, finally, system will enter into the stable state under a certain order; parameter changes have similar effects on the economic system. Therefore, selecting an appropriate order is significant for an economic system, which guarantees a steady development. Furthermore, this paper construct the chaos control to IS–LM fractional-order macroeconomic model by means of linear feedback control method, by calculating and adjusting the feedback coefficient, we make the system return to the convergence state. View Full-Text
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Ma, J.; Ren, W.; Zhan, X. Study on the Inherent Complex Features and Chaos Control of IS–LM Fractional-Order Systems. Entropy 2016, 18, 332.
Ma J, Ren W, Zhan X. Study on the Inherent Complex Features and Chaos Control of IS–LM Fractional-Order Systems. Entropy. 2016; 18(9):332.Chicago/Turabian Style
Ma, Junhai; Ren, Wenbo; Zhan, Xueli. 2016. "Study on the Inherent Complex Features and Chaos Control of IS–LM Fractional-Order Systems." Entropy 18, no. 9: 332.
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