Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.     

Dynamic Characteristics of Inter-Satellite Links in LEO Networks

To establish an efficient inter-satellite link (ISL) in an LEO network, the effect of geometric characteristics of ISL on the ISLs and the devices on the LEO satellite should be examined. Because of the continuous movement of the LEO satellite, the time-varying behaviours of the ISL's geometric charactersistics continuously change with the changes of the satellite's position on the orbit. These dynamic geometric characteristics of the ISLs are important for ISL's performance analyzing and the design of the devices on the LEO satellite. This paper describes dynamic geometric characteristics of ISL, analyzes the impact of these regulations on the tracking system of the satellite's antenna and the power adjusting system of the satellite's transmitter, with the Iridium system as an example.     

对先进生产力与先进文化之间关系的结构性解读

为了实现“中华民族的伟大复兴” ,需要理论指导 ,对“什么是先进生产力和什么是先进文化”二者之间的关系及结构进行的解读 ,其目的在于指出要达到的二者动态平衡将是一个艰巨、长期和复杂的过程。     

Radar Imaging Based on Iterative Algorithms

It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used successfully to improve the image quality. This paper studies the application of iterative algorithms in radar imaging. A discrete model is first derived, and the iterative algorithms are then adapted to radar imaging. Although such algorithms are usually time consuming, this paper shows that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.     

反应条件及添加惰性物质对三聚甲醛合成反应的影响

研究了三聚甲醛合成过程进料浓度、催化剂用量等对副产物（特别是甲酸）生成行为的影响。结果表明，该体系副产物的生成强烈地依赖于反应时间和催化剂硫酸的用量，而与原料浓度的波动无关。在反应－精馏过程的反应器中添加惰性高沸有机物，可有效地缩短反应物的停留时间，提高三聚甲酸的选择性，大大降低快速反应－精馏过程对反应器的设计要求。     

工业企业经营销售管理信息系统及预测模型

本文以工业企业经营销售系统为问题研究的着眼点，对建立企业的经营销售管理信息系统作了理论和实践上的探讨。本文运用信息论、系统论和控制论的观点及原理，研究了经营销售管理系统的组成结构，并以上海轴承公司为实例背景，设计建立了经营销售应量分析的预测数学模型．     

大型喷浆机器人的灵巧度分析

灵巧度是衡量机器人运动失真程度的重要参数。对机器人灵巧度评价指标进行了对比研究 ,结合大型喷浆机器人自由度较多的特点 ,用雅可比矩阵的条件数对喷浆机器人的灵巧度进行了分析。结果表明 ,大型喷浆机器人在不同形位下的条件数都很小 ,具有较好的运动灵巧度。     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-     

一种评定实验教学质量与学习效果的方法研究

本文分析了实验教学评价的特殊性、复杂性与重要性。介绍了运用权重法评定实验教学效果的基本步骤方法。设计了用权重法评定实验教学质量与学习效果的两例评估计算方法。提出了还可以根据实验教学的实践性特点,用权重法设定专项评价和制作自动评价系统课件的设想。     

JXTA技术中RPV的改进策略

JXTA技术的对等网络中普遍存在RPV管理不足的现象,该现象对网络中的信息传递有较大影响.分析了现有RPV中的聚集对等点信息管理的缺陷,以及由此导致的查询效率和网络性能的降低.提出了对RPV的改进策略,并给出了相应的查询消息发送机制.改进后的RPV策略提高了查询效率,并改善了RPV的适应性.