Parameter bounds evaluation of Wiener models with noninvertible polynomial nonlinearities

In this paper a three stage procedure is presented for deriving parameters bounds of SISO Wiener models when the nonlinear block is modeled by a possibly noninvertible polynomial and the output measurement errors are bounded. First, using steady-state input-output data, parameters of the nonlinear part are bounded by a tight orthotope. Then, given the estimated uncertain nonlinearity and the output measurements collected exciting the system with an input dynamic signal, bounds on the unmeasurable inner signal are computed. Finally, such bounds, together with noisy output measurements, are used for bounding the parameters of the linear block.     

位标器陀螺及控制

研制出一种双色红外、毫米波复合制导陀螺并研究了其控制方法.利用球形静压气浮轴承支撑外转子,利用光纤和波导管分别将红外信号和毫米波信号传输到陀螺后部进行处理,利用定子线包进行非接触角度测量,可以实现复合制导和扫描、跟踪控制,最大跟踪角速度为16(°)/s.     

《机械设计基础》课程采用多媒体教学的可行性

以《机械设计基础》课程中凸轮廓线动态设计为例 ,阐述《机械设计基础》课程多媒体教学的可行性 ,简要介绍用VB6实现多媒体教学的手段     

基于数值积分法灵敏度的快速切负荷算法

快速切除负荷是电力系统在故障后保障稳定的一种常用措施，作者以工程上普遍采用的发电机组最大相对摇摆角小于某一给定值的暂态稳定约束函数。然后基于数值积分法给出了暂态稳定约束函数相对于切负荷控制量的灵敏度计算公式，并在基础上提出一种新的切负荷算法。由于求解1次所有控制量灵敏度的计算量只相当于计算2次暂态稳定。该算法能快速地计算出使系统保持稳定的切负荷量。此外，该算法还具有原理简单，不存在收敛性问题、控制效果好等特点。     

中央银行干预外汇交换市场的最优策略

现汇的交换率服从几何布朗运动。中央银行的目的是使交换率尽可能限制在一个给定区域。在交换率与给定目标之间有消费成本。另外，在每一次干预中，存在一个固定成本和比例成本。目的是找一个最优干预水平和规模，使得总成本最小。可以用随机脉冲控制来解决这一问题。     

基于.NET2.0的旅行社管理信息系统的设计与实现

微软推出的基于ASP.NET2.0的Web应用和动态网站开发技术,使得Web应用的开发更加简单和快捷。针对目前许多旅行社管理信息系统存在的问题和不足,在基于ASP.NET2.0技术的基础上提出并实现了一种适用于中小型旅行社的管理信息系统。并通过引入第三方控件,改写树型导航TreeView控件数据绑定方法完善了系统的功能,提高了系统的实用性。     

Constrained multi-variable generalized predictive control using a dual neural network

Multi-variable generalized predictive control algorithm has obtained great success in process industries. However, it suffers from a high computational cost because the multi-stage optimization approach in the algorithm is time-consuming when constraints of the control system are considered. In this paper, a dual neural network is employed to deal with the multi-stage optimization problem, and bounded constraints on the input and output signals of the control system are taken into account. The dual neural network has many favorable features such as simple structure, rapid execution, and easy implementation. Therefore, the computation efficiency, in comparison with the consecutive executions of numerical algorithms on digital computers, is increased dramatically. In addition, the dual network model can yield the exact optimum values of future control signals while many other neural networks only obtain the approximate optimal solutions. Hence the multi-variable generalized predictive control algorithm based on the dual neural network is suitable for industrial applications with the real-time computation requirement. Simulation examples are given to demonstrate the efficiency of the proposed approach.     

基于ZigBee的工业设备监控系统

ZigBee是一种基于IEEE 802.15.4标准的短距离无线网络协议.在研究Zigbee协议标准的基础上,通过与现有基于GPRS/CDMA1X的无线工业设备监控系统比较,提出一个基于ZigBee的工业设备监控系统的平台结构设计方案.     

Development and evaluation of fast branch-and-bound algorithm for feature matching based on line segments

By extending the previously proposed geometric branch-and-bound algorithm with bounded alignment for point pattern matching, the paper presents the development and evaluation of a new and fast algorithm for image registration based on line segments. Using synthetically generated data sets with randomly distributed line segments and hard test cases with highly symmetric line patterns, as well as real remote sensing images, the developed algorithm is shown to be computationally fast, highly robust, capable of handling severely corrupted data sets with considerable line segment position errors as well as significant fragmented and spurious line segments in the images to be matched.