基于模糊控制的纸机蒸汽冷凝水控制系统

针对造纸干燥部的工况多变、选用传统控制方式不易控制的情况,设计了一种基于模糊PID算法设计的S7-300控制系统,介绍了理论上和实际组态、编程的实现方法。该系统鲁棒性强,可适应复杂工况,实际应用结果表明该系统算法合理、易实现,控制效果好。     

Innovative seismic design optimization with reliability constraints

Performance-Based Design (PBD) methodologies is the contemporary trend in designing better and more economic earthquake-resistant structures where the main objective is to achieve more predictable and reliable levels of safety and operability against natural hazards. On the other hand, reliability-based optimization (RBO) methods directly account for the variability of the design parameters into the formulation of the optimization problem. The objective of this work is to incorporate PBD methodologies under seismic loading into the framework of RBO in conjunction with innovative tools for treating computational intensive problems of real-world structural systems. Two types of random variables are considered: Those which influence the level of seismic demand and those that affect the structural capacity. Reliability analysis is required for the assessment of the probabilistic constraints within the RBO formulation. The Monte Carlo Simulation (MCS) method is considered as the most reliable method for estimating the probabilities of exceedance or other statistical quantities albeit with excessive, in many cases, computational cost. First or Second Order Reliability Methods (FORM, SORM) constitute alternative approaches which require an explicit limit-state function. This type of limit-state function is not available for complex problems. In this study, in order to find the most efficient methodology for performing reliability analysis in conjunction with performance-based optimum design under seismic loading, a Neural Network approximation of the limit-state function is proposed and is combined with either MCS or with FORM approaches for handling the uncertainties. These two methodologies are applied in RBO problems with sizing and topology design variables resulting in two orders of magnitude reduction of the computational effort.     

Augmented Panoramic Video

Many video sequences consist of a locally dynamic background containing moving foreground subjects. In this paper we propose a novel way of re‐displaying these sequences, by giving the user control over a virtual camera frame. Based on video mosaicing, we first compute a static high quality background panorama. After segmenting and removing the foreground subjects from the original video, the remaining elements are merged into a dynamic background panorama, which seamlessly extends the original video footage. We then re‐display this augmented video by warping and cropping the panorama. The virtual camera can have an enlarged field‐of‐view and a controlled camera motion. Our technique is able to process videos with complex camera motions, reconstructing high quality panoramas without parallax artefacts, visible seams or blurring, while retaining repetitive dynamic elements.     

An LMI approach to synthesis subject to almost asymptotic regulation constraints

A multi-objective controller synthesis problem is considered in which an output is to be regulated approximately by assuring a bound on the steady-state peak amplification in response to an infinite-energy disturbance, while also guaranteeing a desired level of performance measured in terms of the worst-case energy gain from a finite-energy input to a performance output. Relying on a characterization of the controllers with which almost asymptotic regulation is accomplished, the problem of guaranteeing the desired level of performance is reduced to solving a system of linear matrix inequalities subject to a set of linear equality constraints. Based on the solution of this system, a procedure is outlined for the construction of a suitable controller whose order is equal to the order of the plant plus the order of the exogenous system.     

control with limited communication and message losses

We propose an H^∞ approach to a remote control problem where the communication is constrained due to the use of a shared channel. The controller employs a periodic time sequencing scheme for message transmissions from multiple sensors and to multiple actuators of the system. It further takes into account the information on the random message losses that occur in the channel. An exact characterization for controller synthesis is obtained and is stated in terms of linear matrix inequalities. Furthermore, an analysis on the loss probabilities of the messages to accomplish stabilization is carried out. The results are illustrated through a numerical example.     

MINI——一种可减小变更影响范围的本体演化算法

本体演化会影响依赖本体的服务,使其重新修订和重新部署.面对同一变更需求,不同演化实现方法造成的影响范围差别很大.当前的本体演化研究主要集中在如何实现变更需求以及维护变更前后本体的一致性,对于如何降低演化影响范围关注甚少.文中提出了一种可以有效减小变更影响范围的本体演化算法MINI.该算法首先分析了本体实体和服务之间的依赖关系并提出了量化变更影响范围的数学公式.根据这一公式,MINI算法将本体演化过程转变为图的启发式搜索过程,通过搜索一条影响值最小的变更路径来减小本体演化的影响范围.实验结果表明,MINI算法导致的平均变更影响范围大大小于现有的本体演化算法.该算法已在某实际项目中得以应用和验证.     

18位高精度音频Σ-ΔDAC设计

采用基于过采样Σ-ΔDAC调制技术设计的音频D/A转换器,对量化噪声进行有效整形,提高了分辨率和带内信噪比(SNR)。重点对Sigma-delta设计进行了详细分析,给出了有关电路结构和仿真结果。芯片已在TSMC 0.18μm CMOS工艺上流片成功,在工作频率6.144MHz时动态范围达128.6dB,信噪比109.5dB,总谐波失真达-117.2dB。     

文本分类中影响因素的定量分析

基于包含全部特征的类别特征数据库,利用基于距离度量的Rocchio算法、Fast TC算法和基于概率模型的NB算法,从定量的角度来分析停用词、词干合并、数字和测试文档长度4个因素对文本分类精度的影响程度。实验表明,过滤停用词方法是一种无损的特征压缩手段,词干合并虽然对分类精度略有减弱,但仍能保证特征压缩的可行性。数字与其他词汇的语义关联性提高了Rocchio算法和Fast TC算法的分类精度,但降低了视特征彼此独立的NB算法的分类精度。3种算法在测试文档取不同数量的关键词时分类精度的变化趋势说明了特征所包含的有益信息和噪音信息对分类精度的影响。     

基于动态序列图像的汽车碰撞分析系统的实现

提出一种基于动态序列图像的汽车碰撞分析系统的实现方法,并就其中关键技术进行了讨论:引入基于大气物理模型的图像复原方法,消减天气对现场采集的图像质量的影响;提出了背景差分与时间差分融合的方法,实现对运动目标(车辆)的快速检测;利用编码技术实现对车身特定点的自动识别、匹配和跟踪;运用DLT算法进行摄像机标定,进行图像测量.本系统应用于碰撞过程的定性和定量分析,结果表明了其有效性.     

经济实用电机软起动器选择及电路原理分析

电动机软起动,是一项技术,一类产品,一个行业。电动机的降压起动方式经过了"Y-Δ"起动器和自藕降压起动器到磁控式软起动器,目前又发展到电机软起动器。所以在工程应用中,当电动机在直接起动不能满足要求时,首先考虑的是电机软起动器。电动机软起动为今后的智能控制系统化打下良好基础。