Globally Exponential Stability for Delayed Neural Networks Under Impulsive Control

In this paper, the dynamic behaviors of a class of neural networks with time-varying delays are investigated. Some less weak sufficient conditions based on p-norm and ∞-norm are obtained to guarantee the existence, uniqueness of the equilibrium point for the addressed neural networks without impulsive control by applying homeomorphism theory. And then, by utilizing inequality technique, Lyapunov functional method and the analysis method, some new and useful criteria of the globally exponential stability with respect to the equilibrium point under impulsive control we assumed are derived based on p-norm and ∞-norm, respectively. Finally, an example with simulation is given to show the effectiveness of the obtained results.     

Hybrid Well-balanced WENO Schemes with Different Indicators for Shallow Water Equations

In (J. Comput. Phys. 229: 8105–8129, 2010), Li and Qiu investigated the hybrid weighted essentially non-oscillatory (WENO) schemes with different indicators for Euler equations of gas dynamics. In this continuation paper, we extend the method to solve the one- and two-dimensional shallow water equations with source term due to the non-flat bottom topography, with a goal of obtaining the same advantages of the schemes for the Euler equations, such as the saving computational cost, essentially non-oscillatory property for general solution with discontinuities, and the sharp shock transition. Extensive simulations in one- and two-dimensions are provided to illustrate the behavior of this procedure.     

A Delay-Dependent Approach to Robust H ∞ Control for Uncertain Stochastic Systems with State and Input Delays

In this paper, the problem of delay-dependent robust H _∞ control for uncertain stochastic systems with state and input delays is investigated. The time delays are assumed to be bounded and time varying and the uncertainties are assumed to be norm bounded. By using the Lyapunov functional method, a new delay-dependent robust H _∞ control scheme is presented in terms of linear matrix inequalities (LMIs). Some numerical examples are given to illustrate the effectiveness of the proposed approach. This work is partially supported by the Natural Science Foundation of China (60674055, 60774047), and the Taishan Scholar Programme of Shandong Province. An erratum to this article can be found at     

一种太阳能电动车用开关电源的设计

设计了一种供太阳能电动车无刷直流电机控制模块使用的半桥型开关电源电路,在实现输出采样反馈的同时,利用SG3525芯片的关闭功能设计了过流检测电路,有效防止过电流或过电压对控制系统的危害。实验结果表明,该电路具有响应快、稳定性好、输出电压精度高等优点,很好地满足了太阳能电动车无刷直流电机控制模块的供电需求。     

变压器优化设计中直接法的综合应用

介绍了引入网络法与虎克－杰夫法用作变压器优化设计。这两种方法的综合应用,既可避免优化结果过早陷入局部最优点,又能有效处理离散型优化变量问题。文中还给出了优化设计的计算结果。     

Least squares based and gradient based iterative identification for Wiener nonlinear systems

This paper derives a least squares-based and a gradient-based iterative identification algorithms for Wiener nonlinear systems. These methods separate one bilinear cost function into two linear cost functions, estimating directly the parameters of Wiener systems without re-parameterization to generate redundant estimates. The simulation results confirm that the proposed two algorithms are valid and the least squares-based iterative algorithm has faster convergence rates than the gradient-based iterative algorithm.     

潜艇鱼雷发射装置"卡管"事故故障树分析

“卡管”是鱼雷攻击和训练过程中出现的极为恶劣的事故,本文对导致事故的原因进行了分析。由于试验数据和训练数据有限,传统的故障树分析难以对“卡管”事故原因及出现概率做出准确评价。本文通过采用模糊故障树分析法,建立了该系统的模糊故障树,对事故概率及原因进行了定量及定性分析,为部队装备管理、人员管理和维修决策等工作提供理论依据。     

甚低频通信信道建模与仿真

甚低频通信受环境因素影响,其信道参数存在明显的时、空、频三维不均匀性,导致甚低频发信台对广阔的通信海区并不能满足在时间和空间上的无缝覆盖,易造成对潜指挥不畅。利用甚低频电波传播的可预测性,应用波导模式理论建立甚低频信道模型,对其信号场强进行预测,并进行了计算机仿真,仿真结果与实测数据吻合较好,表明利用该模型可实现通信效果的精确预报,从而提高对潜通信的效能。     

双目视觉中的角点检测算法研究

为了实现双目视觉中的特征提取与立体匹配,在研究现有角点检测算法的基础上,提出一种改进的Harris角点检测算法。该算法首先采用图像分块和邻近角点剔除的策略,实现了阈值的自适应调节,并保证角点分布的均匀和避免角点聚簇的产生。结合Forstner检测算法,将精度提高到亚像素级。编程计算结果验证了该方法的准确性和稳定性。     

一种宽色域直下式LED背光源驱动电路的设计

文章介绍了一种宽色域LED背光源驱动电路,详细说明了LED驱动硬件设计流程,并简述了通过FPGA对驱动芯片进行前端控制的过程。