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.     

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.     

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。     

在UBBE框架下考虑不肯定的上界的估计方法

对目前的ＵＢＢＥ模型进行了适当的推广，使在解决估计问题时可以考虑那些可能是误差上界的数值，并在此基础上提出了一种方法，能够通过对估计精度和可靠性进行合理的权衡确定所需估计值，实际案例研究结果表明所提方法能够较好地解决估计精度和可靠性之间的矛盾。     

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-     

监护职责和监护责任--以《学生伤害事故处理办法》第7条为例

监护职责与监护责任在实际生活中往往被混为一谈。在处理学生伤害事故时，学校和监护人的责任，到底是一种什么责任，也往往引起人们的误解。监护职责与监护责任属于不同的范畴，两者在内容和能否约定转移上都有着明显的不同。     

非水溶剂中难溶盐溶度积的理论计算

该文根据以静电作用、取向作用、诱导作用和色散作用为基础的分子间相互作用力,对AgCl、AgBr、AgI、AgN_3、AgSCN及AgAc等6种难溶盐在MeOH、EtOH、MeCN、DMF、DMAC、DMSO和HCONH_2等7种非水溶剂中的离解平衡常数K_(SP)进行了理论计算,计算结果与文献值吻合较好。     

FORTRAN程序调用C语言函数过程的方法

本文介绍FORTRAN语言调用C语言过程的方法。     

视频汇流环的设计与研究

作者在文献[1]中从理论上阐明了视频汇流环的小型化设计。本文着重介绍视频汇流环的电器设计和它的测试方法。