一类具有分布时滞和离散时滞中立型积分微分方程周期解

考虑了具有分布和离散时滞的方程tt dd t x(t)(-)B(t,s)x(s)ds =C(t,s)x(s)ds +i=l(t,x(t -(t)))+b(t) ∫-∞ A(t,x(t))x(t)+ ∫-∞ ∑giτi周期解的存在性问题。文章通过利用线性系统的指数二分性和 Krasnoselskii不动点定理得到了1上述方程周期解存在唯一的充分条件,结论推广和改进了已有文献的结果,并通过一个例子说明该结果的优越性。     

一类带两参数的高维脉冲泛函微分方程周期解的存在性

利用不动点指标定理,研究了下列带两参数的高维脉冲泛函微分方程:x′=A(t)x(t) λf(t,xt),t≠τk,△x|x=t k=μIk(x(τk)),t=τk,k∈Z ,建立了其周期解存在和不存在的一些充分条件。     

二阶非线性时滞微分方程解的振动性和渐进性

主要研究非线性时滞微分方程[a(t)h(x(t))x'(t)]'+p(t)x'(t)+q(t)f(x(σ(t)))=0,t≥T_0和[a(t)h(x(t))x'(t)]'+p(t)x'(t)+q(t)f(x(σ(t)))=e(t),t≥T_0解的振动性和渐进性。     

一类Cohen-Grossberg型神经网络概周期解的全局指数稳定

研究了一类Cohen-Grossberg型神经网络概周期解的存在唯一性及全局指数稳定性,得到了判断概周期解存在唯一及全局指数稳定的充分条件,推广了一些已有的结论。     

Banach空间中的常微分方程边值问题的拟上下解方法

利用拟上下解方法,研究了一阶非线性微分方程边值问题u′(t)=f(t,u(t)),u(0)-u(T)=x1,x1≥0拟解的存在性,并通过线性微分方程的解来构造算子,从而得到单调迭代序列,进而得到该边值问题的最大最小拟解对。     

高阶中立型无穷时滞微分方程的周期解

阐明了利用Fourier级数理论,研究高阶常系数中立型无穷时滞微分方程的周期解问题,获得了周期解存在性和唯一性的充分必要条件.     

一类具有时滞的细胞繁殖模型的正周期解的存在性

研究了一类血红细胞生存模型的时滞微分方程y（t）=-a（t）y（t）＋6（t）e^-r（t）y（r-τ（t））,t≥0的正周期解的存在性,给出其存在的充分条件。     

时滞BAM神经网络周期解的存在唯一性

研究了一类具有变系数及状态依赖时滞或分布时滞的BAM神经网络模型的周期解存在唯一性问题,利用不动点定理获得了周期解的存在唯一性条件,并应用数例说明结论的有效性。     

一类Cohen-Grossberg型BAM脉冲神经网络周期解的存在性和全局指数稳定性

利用Lyapunov泛函、不等式方法及Poincaré映射,建立了一类具有混合时滞的Cohen-Grossberg型BAM脉冲神经网络周期解的存在性和全局指数稳定性的充分性判据。     

关于一类函数的右导数

设f（x）在[0，1]有界，在[0，1]连续，并且limf（x）不存在，令F（x）＝∫f（t）dt，x∈[0.1]，讨论了F（x）在x＝0点右导数的存在性及其求法，同时指出了文献[1]的一个相关结论不能成立。     

电动力绳系周期解求解及稳定性控制

电动力绳系姿态摆动动力学方程具有非线性特点,且姿态摆动状态直接影响着空间任务能否正常进行。首先,基于哑铃模型及偶极子地磁场模型假设,推导了在倾斜圆轨道上运行的电动力绳系姿态动力学方程。其次,给出了利用摄动法和不动点迭代法相互配合的数值方法求解该非线性方程周期解的过程及解的稳定性判断准则,并针对不稳定周期解提出了相应的稳定性控制策略。最后,通过数值仿真分析,得到了姿态摆动运动的周期解图像,验证了周期解求解算法的有效性,并对不稳定周期解实现了稳定性控制。     

Periodic ambiguity functions of EQC-based TFHC

The time-frequency hop codes based upon extended quadratic congruences (TFHC-EQC) were developed previously (1988, 1991). The known results about the ambiguity functions of the TFHC-EQC are extended from aperiodic cases to periodic cases. Precisely, the following new results are proved: (1) The tight upper bound for the periodic auto-ambiguity function of the TFHC-EQC is 6; (2) the periodic cross-ambiguity upper bound of the TFHC-EQC is at least (N-1)/2; (3) there exists a subset TFHC-EQC of volume (N-1)/2 such that its periodic cross-ambiguity is tightly upper bounded by 8     

Periodic ambiguity function of CW signals with perfect periodicautocorrelation

A periodic ambiguity function (PAF) is discussed which describes the response of a correlation receiver to a CW signal modulated by a periodic waveform, when the reference signal in the receiver is constructed from an integral number N, of periods T, of the transmitted signal. The PAF is a generalization of the periodic autocorrelation function, to the case of non-zero Doppler shift. It is shown that the PAF of N periods is obtained by multiplying the PAF of a single period by the universal function sin(Nπν T)/N sin(πνT), where ν is the Doppler shift, to phase-modulated signals which exhibit perfect periodic autocorrelation when there is no Doppler shift. The PAF of these signals exhibits universal cuts along the delay and Doppler axes. These cuts are functions only of t, N and the number M, the modulation bits in one period     

Periodic Error Compensation for Quartz MEMS Gyroscope Drift of INS

In order to improve the navigation accuracy of an inertial navigation system （INS）, composed of quartz gyroscopes, the existing real-time compensation methods for periodic errors in quartz gyroscope drift and the periodic error term relationship between sampled original data and smoothed data are reviewed. On the base of the results, a new compensation method called using former period characteristics to compensate latter smoothness data （UFCL for short） method is proposed considering the INS working characteristics. This new method uses the original data without smoothing to work out an error conversion formula at the INS initial alignment time and then compensate the smoothed data errors by way of the formula at the navigation time. Both theoretical analysis and experimental results demonstrate that this method is able to cut down on computational time and raise the accuracy which makes it a better real-time compensation approach for periodic error terms of quartz micro electronic mechanical system （MEMS） gyroscope＇s zero drift.     

基于周期FRFT的多分量LFMCW雷达信号分离

 多分量线性调频连续波(LFMCW)信号的截获和特征提取是雷达情报侦察的难点,为了实现对多分量LFMCW信号的快速检测和有效分离,提出了一种基于周期分数阶Fourier变换(PFRFT)的多分量LFMCW雷达信号分离新方法。首先介绍了PFRFT,分析了PFRFT和FRFT之间的关系,讨论了LFMCW信号的PFRFT特征。然后给出了一种离散PFRFT的计算方法,结合周期分数阶Fourier域(PFRFD)的窄带滤波和CLEAN算法实现了多分量LFMCW信号的分离。仿真结果表明:①PFRFT的计算效率较周期Wigner-Hough变换(PWHT)具有明显优势;②LFMCW信号分量在特定PFRFD中具有能量峰值,分离后能较好保留时频特征;③当两个LFMCW信号分量的功率相差较大时,适合在PFRFD分离,反之适合在时域分离;④当信噪比(SNR)为0 dB时,两个具有相同功率的LFMCW信号分量分离后,与初始信号分量的相关系数都达到了0.9以上。