实际工业过程极点配置自校正调节器设计

本文以实际的焦炉煤气集气系统压力过程为对象，介绍一种极点配置自校正调节器设计方法。主要内容有：根据实际过程采集的数据估计被控对象的结构参数；完成极点配置和调节器参数计算；给出调节器算法及实现。应用表明，这种调节器适于实际过程微机控制。     

极点配置自校正PID调节器及其应用

提出一种设计极点配置自校正ＰＩＤ调节器的新方法。该方法具有设计简单，工程意义直观、鲁棒性强和容易实现等优点。并在电阻加热炉温度控制系统中获得了令人满意的控制效果。对自校正控制理论及应用的研究具有一定的参考价值。     

实际工业过程极点配置自校正调节器设计

本文以实际的焦炉煤气集气系统压力过程为对象，介绍一种极点配置自校正调节器设计方法。主要内容有：根据实际过程采集的数据估计被控对象的结构参数；完成极点配置和调节器参数计算；给出调节器算法及实现。应用表明，这种调节器适于实际过程微机控制。     

极点配置自校正PID调节器及其应用

提出一种设计极点配置自校正PID调节翼的新方法。该方法具有设计简单，工程意义直观、鲁棒性强和容易实现等优点。并在电阻加热炉温度控制系统中获得了令人满意的控制效果。对自校正控制理论及应用的研究具有一定的参考价值。     

动态极点配置自校正减摇鳍控制系统

本文提出了动态极点配置的概念，对原有极点配置自校正调节器的性质和功能进行了补充，反它应用于抗海浪干扰的减摇鳍控制系统设计中，混合实时仿真结果表明，该控制方法有抗干扰性强，易实现的优点。     

极点配置自校正预估PID控制器

对于时滞过程,本文提出了一种新的自校正预估 PID 控制器,它实现了极点配置和静态抗干扰性能,克服了文献[2]提出的自校正预估 PI 控制器和文献[5]提出的自校正预估 PID 控制器不能在线校正控制器参数的缺点.仿真例子说明了本文结果的有效性.     

工业机器人的自校正极点配置控制法

本文提出一种自校正极点配置法进行机器人机械手的位置和速度控制。首先将复杂的机械手系统由一组离散时间的差分方程离散化;然后根据所估计的参数用极点配置法来设计自适应控制器;最后给出了计算机的仿真结果。     

一种增益可调的极点配置自校正调节器的显式和隐式算法

本文提出一种新颖的极点配置自校正调节器算法。在配置闭环极点的同时,对调节器的高频增益加以限制,以减弱控制信号的高频振荡。文中给出了显式和隐式算法。算法简单、直观、易于实现。计算机仿真结果表明,采用本文提出的算法,控制信号的方差明显降低。     

极点配置显式自校正前馈控制器

一、极点配置前馈控制器假设系统用CARMAx模型描写为Ay(t)=q~(-k)Bu(t)+q~(-d)Dv(t)+Ce(t) (1)其中A,B,C,D是滞后算子q~(-1)的多项式;k,d为时滞,k≤d;y(t),u(t),v(t)分别为系统输出、控制和干扰;e(t)是零均值、方差为σ~2的白噪声.     

一种极点配置自校正导弹控制器的设计方法

根据导弹的非线性时变的特点,以及自适应控制的优点,结合计算机技术与现代控制理论,设计了一种极点配置自校正导弹控制器.该文为滚转通道建立了二阶离散传递函数模型,给出了模型参数的在线辨识方法,研究了极点配置自校正控制器的设计方法,给出了控制量的计算公式和仿真结果.仿真的结果表明,该控制器对非线性时变的控制对象具有满意的控制效果.     

时变时滞离散递归神经网络系统的状态估计器设计

研究时滞离散递归神经系统的状态估计问题.通过网络输出对神经元的状态进行估计.在较弱的激活函数假设下,通过构造一个新的Lyapunov泛函,引入一个自由权矩阵,并结合Jensen不等式得到了确保误差系统全局指数稳定的充分条件.所得条件依赖于时变时滞的上界和下界,并以线性矩阵不等式的形式给出.最后的数值算例表明了所提出方法的有效性.     

Design of optimal double auction mechanism with multi-objectives

This paper proposes a new approach to design optimal double auction mechanism with multi-objectives. In the optimal double auction mechanism, optimality is represented as multi-objectives to maximize the expected total revenue of sellers and buyers respectively at the same time. We give representation of allocation rules and payment rules of the optimal double auction mechanism that satisfies incentive compatibility, individual rationality, market clearing, and budget-balanced restrictions. Finally, we present a numerical example to demonstrate the function of the developed optimal double auction mechanism and its efficiency.     

双路速度测量仪设计

介绍了在特定环境下的速度测量要求 ,并由此设计了双路速度测量仪 ,由现场的运行情况看 ,该速度测量仪设计合理 ,运行可靠     

基于SAE J1939协议的双缓冲区网关设计

J1939是基于CAN2.0B的高速通信协议,它定义了特殊的报文结构和通信方式,描述了CAN网关的功能.从CAN网络拓扑结构等方面介绍了网关的重要作用,探讨了网关的工作流程和基于J1939的报文设计方法以及网关设计中的重要部分--缓冲区设计技术.分析了环形缓冲区的工作原理、规划方法以及发送缓冲区设计方法,并利用基于CANoe的半实物仿真技术对所设计的网关的性能进行检验.     

Estimating parameters of a two-layer stratified ocean from polarity conversion of internal solitary waves observed in satellite SAR images

This paper presents a method for estimating parameters of a two-layer stratified ocean using satellite SAR images. According to weak nonlinearity shallow water theory, internal solitary waves (ISWs) in stratified oceans may be either depression or elevation waves, depending on the sign of the quadratic nonlinearity coefficient in the KdV equation. It has been confirmed that ISWs can convert their polarity when passing through a turning point, where the quadratic nonlinearity coefficient changes sign. For a two-layer stratified ocean, the turning point is located where the upper and lower layer depths are equal. The authors suggest that depression, elevation and broadening ISWs can be discerned according to their different signatures in SAR images. It is also found that a SAR image can record a continuous evolution process from depression to elevation ISWs in its spatial domain, under conditions of a spatially inhomogeneous ocean environment. Therefore, the upper and lower layer depths can be calculated by determining the polarity conversion of ISWs observed in satellite SAR images. Furthermore, the density difference between the upper and lower layers can also be estimated, when the wave speed is known. We extract ocean stratification parameters, including upper layer depth and density difference, from polarity conversion of ISWs observed in a RADARSAT-1 SAR image taken over the northeastern South China Sea. Comparing the estimated results with field measurements, we find that this method can estimate the upper layer depth with considerable success. In estimating the density difference between the upper and lower layers, it also gives a quite reasonable result.     

The Logarithmic Image Processing Model: Connections with Human Brightness Perception and Contrast Estimators

The logarithmic image processing (LIP) model is amathematical framework based on abstract linear mathematicswhich provides a set of specific algebraic and functionaloperations that can be applied to the processing of intensityimages valued in a bounded range. The LIP model has been provedto be physically justified in the setting of transmitted lightand to be consistent with several laws and characteristics ofthe human visual system. Successful application examples havealso been reported in several image processing areas, e.g.,image enhancement, image restoration, three-dimensional imagereconstruction, edge detection and image segmentation.The aim of this article is to show that the LIP model is atractable mathematical framework for image processing which isconsistent with several laws and characteristics of humanbrightness perception. This is a survey article in the sensethat it presents (almost) previously published results in arevised, refined and self-contained form. First, an introductionto the LIP model is exposed. Emphasis will be especially placedon the initial motivation and goal, and on the scope of themodel. Then, an introductory summary of mathematicalfundamentals of the LIP model is detailed. Next, the articleaims at surveying the connections of the LIP model with severallaws and characteristics of human brightness perception, namelythe brightness scale inversion, saturation characteristic, Weber'sand Fechner's laws, and the psychophysical contrast notion. Finally,it is shown that the LIP model is a powerful and tractable framework for handling the contrast notion. This is done througha survey of several LIP-model-based contrast estimators associated with special subparts (point, pair of points,boundary, region) of intensity images, that are justified bothfrom a physical and mathematical point of view.     

A Posteriori Error Estimators for a Class of Variational Inequalities

In this paper, we present an a posteriori error analysis for the finite element approximation of a variational inequality. We derive a posteriori error estimators of residual type, which are shown to provide upper bounds on the discretization error for a class of variational inequalities provided the solutions are sufficiently regular. Furthermore we derive sharp a posteriori error estimators with both lower and upper error bounds for a subclass of the obstacle problem which are frequently met in many physical models. For sufficiently regular solutions, these estimates are shown to be equivalent to the discretization error in an energy type norm. Our numerical tests show that these sharp error estimators are both reliable and efficient in guiding mesh adaptivity for computing the free boundaries.     

单通道白噪声估值器

本文用时域上的新息分析方法提出了统一、通用的单道白噪声估值器，它可处理带相关噪声的不稳定和非最小相位系统，并可处理带未知噪声统计和非零均值的白噪声。应用领域包括油田地震勘探、通讯、雷达跟踪、信号处理和状态估计等。仿真例子说明了其有效性。     

双摆与单侧刚性约束面之间的斜碰撞振动

研究了简谐力矩激励作用下的平面双摆与单侧刚性约束面之间的斜碰撞振动,讨论并推导了系统在斜碰撞前后的状态关系,并用数值方法研究了激励参数和系统物理参数的变化对系统稳态行为的影响,揭示了斜碰撞振动系统的运动复杂性．     

应用于地震数据去卷的自校正白噪声估值器

本文把地震数据去卷问题处理为估计带观测噪声的ARMA模型的白噪声问题,应用时间序列分析方法提出了不同于Mendel的新的稳态最优白噪声估值器,文章基于两个ARMA新息模型的在线辨识,进一步给出了自校正白噪声估值器.