一种新型弹载偶极子天线分析与设计

给出了一种新型结构的弹载偶极子天线,采用基于自补结构的蛇形振子作为辐射器,并用矩量法对振子结构进行优化,采用简化形式的锥形BALUN以实现平衡馈电。测试结果表面该天线具有良好的E面全向特性和宽带特性。主要分析了该天线的辐射特性,最后给出并分析了实测数据。该天线具有结构紧凑、馈电简单、带宽较宽、易于制作等优点。     

任意取向多个介质旋转椭球的散射场

本文提出了一种用于计算任意取向多个介质椭球电磁散射的混合方法.利用扩展边界条件(EBC)导出具有旋转轴对称单个椭球以球面波矢量函数为基底的T矩阵,结合球矢量波函数旋转定理和递推T矩阵方法,给出多个任意取向介质椭球的散射场.数值例子验证了该混合方法的计算精度和有效性.     

一类连续模糊动态系统控制方法在Furuta摆中的应用

为了研究Furuta摆在倒立点附近的稳定控制问题，采用基于T-S模糊模型的一类连续模糊动态系统控制方法，首次进行Furuta摆的模糊状态空间建模，并采用模糊切换的思想，设计了Furuta摆在倒立点附近的稳定控制器，进而分析了系统稳定性。与已有的方法相比，该方法的优点是稳定区域大、调节时间短。数字仿真结果验证了方法的有效性。     

非线性互补问题的一种全局收敛的显式光滑Newton方法

本针对Po函数非线性互补问题，给出了一种显式光滑Newton方法，该方法将光滑参数μ进行显式迭代而不依赖于Newton方向的搜索过程，并在适当的假设条件下，证明了算法的全局收敛性。     

电路过渡过程的计算机辅助分析

电路过渡过程所列方程是微分方程，本文中采用的是方框图模型分析法，即将微分方程的复杂示解分解成最基本的加（减）、乘（除）、积分（微分）、增益等运算，采用VB设计用户界面产进行计算，并给出了一算例。     

The number of powers of 2 in a representation of large even integers II

It is proved that for any integerk≥ 54 000, there isN _k >0 depending onk only such that every even integer ≥N _k is a sum of two odd prime numbers andk powers of 2. Project partially supported by RGC Research Grant (No.HKU 7122/97P) and Post-Doctoral Fellowship of the University of Hong Kong.     

声光效应拉曼-内斯方程矩阵级数解法及声光调制器优化设计

提出一种求解正常声光相互作用拉曼 内斯 (Raman Nath)方程的矩阵级数解法 ,该解法直观方便且具有普遍性。计算结果表明 ,对Q =4 1π ,Bragg衍射的效率只有 97 5 % ;对非对称入射 ,以往的Raman Nath近似解误差较大 ;指出提高Bragg衍射效率的有效途径在于提高声光频率比并给出计算声光器件最优长度的计算公式。     

A Neural Network Approach for Signal Detection in Digital Communications

In this paper, we propose a new approach for signal detection in wireless digital communications based on the neural network with transient chaos and time-varying gain (NNTCTG), and give a concrete model of the signal detector after appropriate transformations and mappings. It is well known that the problem of the maximum likelihood signal detection can be described as a complex optimization problem that has so many local optima that conventional Hopfield-type neural networks fail to solve. By refraining from the serious local optima problem of Hopfield-type neural networks, the NNTCTG makes use of the time-varying parameters of the recurrent neural network to control the evolving behavior of the network so that the network undergoes the transition from chaotic behavior to gradient convergence. It has richer and more flexible dynamics rather than conventional neural networks only with point attractors, so that it can be expected to have much ability to search for globally optimal or near-optimal solutions. After going through a transiently inverse-bifurcation process, the NNTCTG can approach the global optimum or the neighborhood of global optimum of our problem. Simulation experiments have been performed to show the effectiveness and validation of the proposed neural network based method for the signal detection in digital communications.     

Equivalence of variational inequality problems to unconstrained minimization

In this paper we propose a class of merit functions for variational inequality problems (VI). Through these merit functions, the variational inequality problem is cast as unconstrained minimization problem. We estimate the growth rate of these merit functions and give conditions under which the stationary points of these functions are the solutions of VI. This work was supported by the state key project “Scientific and Engineering Computing”.     

Surfaces of Constant Mean Curvature Bounded by Two Planar Curves

In this paper we study constant mean curvature compact surfaces with two Jordan curves in parallel planes as boundary and we investigate the point at which the surface inherits the symmetries of its boundary.