Stochastic Resonance in an Over-Damped Bias Linear System with Dichotomous Noise

The stochastic resonance in an over-damped bias linear system subject to multiplicative and additive dichotomous noise （DN） is investigated. By using the linear-response theory and the properties of the DN, the exact expressions are found for the signal-to-noise ratio （SNR）. It is shown that the SNR is a non-monotonic function of the correlation time of the additive DN, and it varies non-monotonically with the bias of the external field, the intensity and asymmetry of the multiplicative DN, as well as the external field frequency. Moreover, the SNR depends on the bias of the system, as well as the strength and asymmetry of the additive DN.     

Experiment and application of parameter-induced stochastic resonance in an over-damped random linear system

This paper investigates the parameter-induced stochastic resonance using experimental methods in an over-damped random linear system with asymmetric dichotomous noise.Non-monotonic dependence of signal-to-noise ratio on the system parameter is observed.Several potential applications of parameter-induced stochastic resonance are given in circuits.     

Stochastic resonance in a bias linear system with multiplicative and additive noise

In this paper, the stochastic resonance in a bias linear system subjected multiplicative and additive dichotomous noise is investigated. Using the linear-response theory and the properties of the dichotomous noise, this paper finds the exact expressions for the first two moments and the signal-to-noise ratio (SNR). It is shown that the SNR is a non-monotonic function of the correlation time of the multiplicative and additive noise, and it varies non-monotonously with the intensity and asymmetry of the multiplicative noise as well as the external field frequency. Moreover, the SNR depends on the system bias, the intensity of the cross noise between the multiplicative and additive noise, and the strength and asymmetry of the additive noise.     

利用CCD图像的灰度梯度实现物体三维测量

提出了一种利用CCD单目图像的灰度梯度测量三维表面的方法——灰度梯度法。巧妙地运用中间变量，找到灰度梯度与聚焦像表面梯度之间的映射关系，将灰度约束方程转变为可求解的一元方程，从而解出聚焦像表面的深度信息。利用聚焦像表面与物体间的几何光学的约束以及它们之间的空间共轭对称关系，将该三维表面变换到实际三维尺寸，以达到三维测量的目的。最后对影响该测量系统的误差进行了分析。该方法克服了传统的光切法因过多冗余图像而使测量效率低的缺点，且该方法约束条件容易实现。对球体和柱面体的试验误差率分别为6．0％和4．85％，显示出该方法在一定范围内是有效的。     

混沌系统的非线性反馈跟踪控制

提出了一种非线性反馈跟踪控制方法,使受控混沌系统既能稳定到相空间的某一个点,也能跟踪某一确定的运动规律.理论分析和实验均表明该控制方法具有极强的鲁棒性. 关键词： 混沌 非线性反馈 跟踪控制 鲁棒性     

控制离散映射系统混沌的一种方法

基于延时反馈控制思想,提出了一种新的离散映象系统混沌的控制方法——预测反馈控制.对所提出的方法进行了详细的论述和数值计算,并将结果与延时反馈控制结果进行了比较.结果表明了该方法的有效性. 关键词： 混沌 离散系统 预测控制 延时控制