DTC变频技术在污水处理中的应用

变频器以其客观的节能效果而被广泛推广使用,特别是ABB变频器的DTC控制技术更是交流传动中革命性的电机控制方式,DTC在零速时产生满转矩,特别适用于污水处理行业中卡鲁塞尔。氧化沟中表面曝气设备的控制。     

新型台式电脑CPU供电电路分析

本文概括了CPU供电电路所采用的新技术,阐述了实现这些技术的VRM电路结构和工作原理,最后详细分析了一种新型X58M主板CPU供电电路的工作原理。     

自适应超混沌系统修正广义同步及其电路实现

运用自适应控制方法,实现超混沌Chen系统的同结构投影同步,并能辨识出响应系统的未知参数。首先通过采用MATLAB进行数字仿真,表明该自适应控制方法的可行性以及系统的参数辨识作用。其次利用EWB仿真设计模拟电路,结果与MATLAB的仿真结果相吻合,从而进一步证明了该自适应控制方法的有效性和系统参数辨识方法。     

Supervised and Reinforcement Evolutionary Learning for Wavelet-based Neuro-fuzzy Networks

This study presents a wavelet-based neuro-fuzzy network (WNFN). The proposed WNFN model combines the traditional Takagi–Sugeno–Kang (TSK) fuzzy model and the wavelet neural networks (WNN). This study adopts the non-orthogonal and compactly supported functions as wavelet neural network bases. A novel supervised evolutionary learning, called WNFN-S, is proposed to tune the adjustable parameters of the WNFN model. The proposed WNFN-S learning scheme is based on dynamic symbiotic evolution (DSE). The proposed DSE uses the sequential-search-based dynamic evolutionary (SSDE) method. In some real-world applications, exact training data may be expensive or even impossible to obtain. To solve this problem, the reinforcement evolutionary learning, called WNFN-R, is proposed. Computer simulations have been conducted to illustrate the performance and applicability of the proposed WNFN-S and WNFN-R learning algorithms.     

身份认证协议的新安全属性

总结了针对身份认证协议的一类新型攻击的特征。对于攻击的分析,引入了两个新的安全属性定义,其一定义在单个证明者的环境中,另一个则定义在多个证明者的环境中。并可证明这两个安全属性本质上是等价的。因此,只要满足了其中单证明者环境下的安全要求,身份认证协议也能安全地运行在多个证明者的环境下。     

使用RFID和车牌识别的奥运会停车场监控系统

2008年的奥运会已经圆满成功的举行,其中也离不开各种监控系统的帮助。该文对奥运会期间的停车场系统设计进行分析,其中主要使用了车牌识别和RFID识别的双重保险,使得奥运会停车场的监控系统的安全性有了更好的保证。     

基于模糊RBF神经网络的换热器建模

针对换热器的复杂非线性特征,利用一种模糊RBF神经网络结构,对其网络学习算法进行部分改进,并用于解决换热器的建模问题。采用模糊RBF神经网络不仅符合人的思维推理方式,也提高了神经网络的学习泛化能力,在改进的学习算法中通过学习率的值的不断变化和添加动量项,可以使学习速度加快,提高了辨识换热器模型的准确性。通过与传统的学习算法的仿真比较,验证了所提出的改进学习算法在辨识精度和稳定性方面具有更好的效果。     

New method for identifying finite degree Volterra series

In this paper, the identification of a class of nonlinear systems which admits input-output maps described by a finite degree Volterra series is considered. In actual fact, it appears that this class can model many important nonlinear multivariable processes not only in engineering, but also in biology, socio-economics, and ecology.To solve this identification problem, we propose a method based on local gradient search in a local parameterization of the state-space realization of finite degree Volterra series with infinite horizon. Using the local parameterization not only reduces the amount of the gradient calculations to the minimal value, but also overcomes the nonuniqueness problem of the optimal solution.Moreover, we propose a sequential projection method to provide an initial estimation of the parameters of finite degree Volterra series realization. This initial estimation is used to initialize the gradient search method.     

Two nonlinear optimization methods for black box identification compared

In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate the parameters of e.g. a polynomial nonlinear state-space model by means of a nonlinear least-squares optimization of the same cost function. While the first method does not estimate the states explicitly, the second method estimates both states and parameters adding an extra constraint equation. Both methods are introduced and their similarities and differences are discussed utilizing simulation data. The unconstrained method appears to be faster and more memory efficient, but the constrained method has a significant advantage as well: it is robust for unstable systems of which bounded input-output data can be measured (e.g. a system captured in a stabilizing feedback loop). Both methods have successfully been applied on real-life measurement data.     

智能化非机动车辆牌照系统的设计与实现

针对目前城乡非机动车辆管理中存在的问题,建立新型的智能化非机动车辆牌照系统。在该系统工作模式的基础上,提出基于射频识别技术的母子抽插式车牌设计思想,阐述基于嵌入式技术的查询终端软硬件设计及实现技术,并对查询终端一次采集查验过程的实践性能进行了分析。