频域干涉测量中脉冲延迟时间测定方法的研究

在基于超短激光脉冲频域干涉技术的超快激光与物质相互作用的测量实验中,束一束间的延迟时间对瞬态特性的测量至关重要。利用两束脉冲频谱干涉条纹宽度与脉冲相对延迟时间成反比关系这一特性,阐述了通过对脉冲频谱干涉图进行傅里叶变换,在干涉条纹傅里叶变换面（时间域）上测量脉冲延迟时间的基本原理,并给出了测量误差分析,数值模拟结果显示通过傅里叶变换的方式,在频谱干涉图的时间域上可以有效地提取出两束脉冲间的相对延迟时间。     

Effects of time delay on the statistical fluctuations for a bistable system driven by cross-correlated noises

We study the effects of time delay on the normalized correlation function C(s) and the associated relaxation time T _c for a bistable system with correlations between multiplicative and additive white noises under the condition of small time delay. Using the projection operator method, the expressions of T _c and C(s) are obtained. Based on numerical computations, it is found that the delay time τ slows down the rate of fluctuation decay of dynamical variable for the presence of positive feedback intensity (∈ > 0), while speeds up the rate of fluctuation decay of dynamical variable for the presence of negative feedback intensity (∈ < 0). The effects of the delay time τ on the T _c and C(s) are entirely opposite for ∈ 〉 0 and ∈ < 0.      

基于混杂系统技术的网络控制系统的建牛与稳定性分析

针对网络控制系统中网络带宽受限所产生的传输延时问题提出一种基于混杂系统技术的建模方法,采用动态输出反馈形式给出了闭环网络控制系统描述,将采样周期和传输延时为常数的情况推广到时变情况,使所建立的模型更具有一般性;并运用混杂系统理论分析了网络控制系统的稳定性,避免了将其转化成一般延时系统构造Lyapunov函数所带来的困难.增大系统稳定域的同时,使系统具有良好的动态性能.仿真结果说明了此方法的可行性和有效性.     

一类广义线性时滞系统稳定性的新判据

研究了广义线性时滞系统的稳定性,利用了矩阵的奇异值分解和广义逆,由此提出了系统时滞无关稳定的条件,并给出了闭环系统时滞无关镇定的条件.     

分段常数变量反馈控制Logistic模型的吸引性

研究了一类具有分段常数变量与多时滞线性反馈控制Logistic模型正平衡点的全局吸引性,利用Barbalat引理证明了该模型解的一致有界与连续性,利用构造Lyapunov泛函方法得到了该模型全局吸引性的充分条件.     

纳秒脉冲电压下气体开关的击穿特性

 采用快速Marx发生器产生ns量级的高电压脉冲,分别开展了不同脉冲电压值下气体开关自击穿实验,获得了气体开关在不同气压下的击穿电压和击穿延迟时间以及抖动。详细介绍了纳秒脉冲电压作用下,气体火花开关击穿电压和击穿延迟时间随工作气压变化的特点,指出了气体开关在不同场合应用时的要求。     

分段常数变元的中立型方程的振动性

给出了一类含连续和分段常数变元的中立型方程振动的两个充分条件,改进和推广了已知文献中的一些结果.     

一类滞后型退化系统的周期解

本文考虑一类滞后型退化高维周期系统B(t)x′(t)=A(t)x(t) f(t,xt),利用线性系统指数型二分性理论和Krasnoselskii不动点定理得到了保证其周期解存在的充分性条件.     

Neuron phase shift adaptive to time delay in locomotor control

Based on neurophysiological evidence, theoretical studies have shown that walking can be generated by mutual entrainment of oscillations of a central pattern generator (CPG) and a body. However, it has also been shown that the time delay in the sensorimotor loop destabilizes mutual entrainment, and results in the failure to walk. Recently, it has been reported that if (a) the neuron model used to construct the CPG is replaced by physiologically faithful neuron model (Bonhoeffer–Van der Pol type) and (b) the mechanical impedance of the body (muscle viscoelasticity) is controlled depending on the angle between two legs, the phase relationship between CPG activity and body motion could be flexibly locked according to the loop delay and, therefore, mutual entrainment can be stabilized. That is, locomotor control adaptive to the loop delay can emerge from the coupling between CPG and body. Here, we call this mechanism flexible-phase locking. In this paper, we construct a system of coupled oscillators as a simplified model of a walking system to theoretically investigate the mechanism of flexible-phase locking, and to analyze the simplified model. The analysis suggests that the following are required as the essential mechanism: (i) an asymptotically stable limit cycle of the coupling system of CPG and body and (ii) a sign difference between afferent and efferent coupling coefficients.     

The dynamics of an impulsive delay SI model with variable coefficients

An impulsive delayed SI model with variable coefficients and a nonlinear incidence is formulated and analyzed. By introducing three thresholds, we obtain sufficient conditions for eradication and permanence of the disease, respectively. It is shown that the conditions depend on time delay for both the global attractivity of the positive infection-free periodic solution and permanence of the model. Furthermore, our results indicate that the disease will disappear if the ratio of the maximum to minimum of the pulse vaccination rate is lager than some value. The main feature of this paper is that we introduce multi-delays and variable coefficients into the SI model, and exhibit a new method which is applied to investigate this model. Numerical results show that the system we considered has complex dynamics including periodic and quasi-periodic oscillations.