Stabilization of a Modified Chaotic Finance System

Guoliang Cai, Haojie Yu, Yuxiu Li
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引用次数: 9

Abstract

in this paper, speed feedback controllers, linear feedback controllers and adaptive controllers are designed for stabilizing chaos of a modified chaotic finance system to unstable equilibrium points. The Lyapunov theorem and Routh-Hurwitz criterion are used to analyze the gain's scope of the controlled system and study the asymptotic stability at the equilibrium point. The effectiveness of the three different methods is illustrated by theoretical analysis and numerical simulations.
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一类改进混沌金融系统的镇定
本文设计了速度反馈控制器、线性反馈控制器和自适应控制器,将改进混沌金融系统的混沌稳定到不稳定平衡点。利用Lyapunov定理和Routh-Hurwitz准则分析了被控系统的增益范围,并研究了平衡点处的渐近稳定性。理论分析和数值模拟表明了三种方法的有效性。
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