一类可变服务率的车辆排队特征分析

本文提出一类服务率随排队车辆数变化的单通道车辆排队模型 ;运用排队理论 ,分析了一种经常可以在高速公路收费站、加油站、平面交叉口等场所看到的随机服务现象 ,充分考虑了服务率与车辆排队数之间的相关特性 ,得出了较切合实际的车辆排队模型 ,给出了各参数指标的数学表达式 ,并且具体实例加以比较说明     

Effect on Intensity Correlation Time by Input Signal in a Single-Mode Laser with Bias Signal Modulation

The effect on intensity correlation time T by input signal is studied for gain-noise model of a single-mode laser driven by colored pump noise and colored quantum noise with colored cross-correlation with a bias signal modulation in this paper. By using the linear approximation method, we detect that there exists maximum （i.e., resonance） in the curve of the intensity correlation time T upon bias current io when the noise correlation coefficient λ is positive; and there exists minimum （i.e., suppression） in the T-io curve when λ is negative. And whenλ is zero, T increases monotonously with increasing io. Furthermore, the curve of T upon the signal frequency Ω is also studied. Our study shows that no matter what the value of λ is, there exists minimum （i.e., suppression） in the T-Ω curve.     

Quantum Standard Teleportation Based on the Generic Measurement Bases

We study the quantum standard teleportation based on the generic measurement bases. It is shown that the quantum standard teleportation does not depend on the explicit expression of the measurement bases. We have given the correspondence relation between the measurement performed by Alice and the unitary transformation performed by Bob. We also prove that the single particle unknown states and the two-particle unknown cat-like states can be exactly transmitted by means of the generic measurement bases and the correspondence unitary transformations.     

Windows9X API的拦截技术

介绍了在Windows9X环境下拦截Windows9X API函数的几种方法。     

基于经典控制理论的控制系统计算机辅助设计软件

频率法和根轨迹法是经典控制理论的两个基本的控制系统设计与分析方法。本文主要介绍的两个计算机辅助设计（ＣＡＤ）软件，分别建立在频率法和根轨迹法的基础上。通过这两个ＣＡＮ软件，可以根据给定的单输入单输出（ＳＩＳＯ）控制系统数学模型，进行各种计算，从而得到我们所需要的结果．     

一维半线性双曲型方程未知源的反问题

We concern the inverse problem of determination of unknown source term for one-dimensional hyperbolic half-linear equation. Approach form for inverse problem is given by using correlative problem of assistant. We concern more ordinary problem than this paper, which is turned into integral equation with the method of characteristic line. We prove the existence and uniqueness of part solution for inverse problem, and unknown source can be solved bv successive approximation.     

Observer-based passive control for uncertain linear systems with delay in state and control input

This paper deals with the robust passivity synthesis problem for a class of uncertain linear systems with time-varying delay in state and control input. The parameter uncertainties are norm-bounded and allowed to appear in all matrices of the model. The problem aims at designing an observer-based dynamic output-feedback controller that robustly stabilizes the uncertain systems and achieves the strict passivity of closed-loop systems for all admissible uncertainties. By converting the problem at hand into a class of strictly passive control problem for a parameterized system, the explicit solution is established and expressed in terms of a linear matrix inequality. A numerical example is provided to demonstrate the validity of the proposed approach.     

虎蝾螈视网膜水平细胞接收的光感受细胞的突触输入

本文在虎蝾螈分离视网膜上研究了水平细胞接收的来自视杆和视锥的突触输入,并考察了在暗、明适应条件下视杆、视锥及水平细胞的反应振幅-光强曲线。光谱敏感性和反应波形。水平细胞在暗、明适应条件下均接收来自视杆、视锥的混合输入。两种光感受器输入的相对比例随细胞而异,并取决于刺激光和背景光的强度。     

ASYMPTOTICAL STABILITY OF NON-AUTONOMOUS DISCRETE-TIME NEURAL NETWORKS WITH GENERALIZED INPUT-OUTPUT FUNCTION

In this paper, we first introduce the model of discrete-time neural networkswith generalized input--output function and present a proof of the existence of afixed point by Schauder fixed-point principle. Secondly, we study the uniformlyasymptotical stability of equilibrium in non-autonomous discrete--time neuralnetworks and give some sufficient conditions that guarantee the stability of itby using the converse theorem of Lyapunov function. Finally, several examplesand numerical simulations are given to illustrate and reinforce our theories.     

具有外部输入和偏差的细胞神经网络的完全稳定性

本文证明了对于由两个细胞组成的细胞神经网络，外部输入和偏差不影响网络的稳定平衡点的存在性和完全稳定性．