检索结果-南通市图书馆

Prediction and Output Estimation of Pattern Moving in Non-Newtonian Mechanical Systems Based on Probability Density Evolution

引用

Computer Modeling in Engineering & Sciences 2024年第4期139卷 515-536页

作者： Cheng Han zhengguang xu School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes University of Science and Technology BeijingBeijing100083China

A prediction framework based on the evolution of pattern motion probability density is proposed for the output prediction and estimation problem of non-Newtonian mechanical systems,assuming that the system satisfies the generalized Lipschitz *** a complex nonlinear system primarily governed by statistical laws rather than Newtonian mechanics,the output of non-Newtonian mechanics systems is difficult to describe through deterministic variables such as state variables,which poses difficulties in predicting and estimating the system’s *** this article,the temporal variation of the system is described by constructing pattern category variables,which are non-deterministic *** pattern category variables have statistical attributes but not operational attributes,operational attributes are assigned to them by posterior probability density,and a method for analyzing their motion laws using probability density evolution is ***,a data-driven form of pattern motion probabilistic density evolution prediction method is designed by combining pseudo partial derivative(PPD),achieving prediction of the probability density satisfying the system’s output *** on this,the final prediction estimation of the system’s output value is realized by minimum variance unbiased ***,a corresponding PPD estimation algorithm is designed using an extended state observer(ESO)to estimate the parameters to be estimated in the proposed prediction *** effectiveness of the parameter estimation algorithm and prediction method is demonstrated through theoretical analysis,and the accuracy of the algorithm is verified by two numerical simulation examples.

关键词： Non-newtonian mechanical systems prediction and estimation pattern moving probability density evolution pseudo partial derivative

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Suboptimal adaptive tracking control for FIR systems with binary-valued observations

引用

Science China(Information Sciences) 2021年第7期64卷 37-47页

作者： Xiangquan LI zhengguang xu Jiarui CUI Lixin ZHANG School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education

In this paper, we investigate and analyze the suboptimal adaptive control for finite impulse response(FIR) systems with binary-valued observations. As the parameters of FIR systems are unknown and the measurable observations can only provide limited information, we propose and analyze a two-segment design method of an adaptive control law. First, we divide the system running time axis into many sections;each of these sections is divided into two segments. During the short segment, we design the system inputs for estimating parameters. Thus, we employ the empirical-measure-based technique for designing the identification algorithm. Second, we introduce a tracking control law to track a given target based on the system parameter estimates obtained in the short segment. We achieve this using the certainty equivalent principle in the long segment. As the length of short segments tends to infinity, we observe that the parameter estimation algorithm is consistent. However, when the length of segments tends to infinity, we find that the adaptive tracking control law is asymptotically suboptimal. Finally, we demonstrate the efficiency of the two-segment design method using the simulation results.

关键词： parameter identification FIR systems binary-valued observations asymptotically suboptimal tracking adaptive control

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Pattern-Moving-Based Parameter Identification of Output Error Models with Multi-Threshold Quantized Observations

引用

Computer Modeling in Engineering & Sciences 2022年第3期130卷 1807-1825页

作者： Xiangquan Li zhengguang xu Cheng Han Ning Li School of Automation and Electrical Engineering University of Science and Technology BeijingKey Laboratory of Knowledge Automation for Industrial ProcessesMinistry of EducationBeijing100083China School of Information Engineering Jingdezhen UniversityJingdezhen333000China

This paper addresses a modified auxiliary model stochastic gradient recursive parameter identification algorithm(M-AM-SGRPIA)for a class of single input single output(SISO)linear output error models with multi-threshold quantized *** proves the convergence of the designed algorithm.A pattern-moving-based system dynamics description method with hybrid metrics is proposed for a kind of practical single input multiple output(SIMO)or SISO nonlinear systems,and a SISO linear output error model with multi-threshold quantized observations is adopted to approximate the unknown *** system input design is accomplished using the measurement technology of random repeatability test,and the probabilistic characteristic of the explicit metric value is employed to estimate the implicit metric value of the pattern class variable.A modified auxiliary model stochastic gradient recursive algorithm(M-AM-SGRA)is designed to identify the model parameters,and the contraction mapping principle proves its *** numerical examples are given to demonstrate the feasibility and effectiveness of the achieved identification algorithm.

关键词： Pattern moving multi-threshold quantized observations output error model auxiliary model parameter identification

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The Slab Heating Furnace Temperature Presetting Model and Optimization 36

The Slab Heating Furnace Temperature Presetting Model and Op...

引用

第36届中国控制会议

作者： zhengguang xu Pengfei xu School of Automation ＆ Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781538629185

In order to solve the problem that the mathematics model’s computation speed of the furnace is slow in operation and the temperature difference between the calculated temperature distribution and the real furnace temperature distribution is quite different,the presetting point model in the furnace control system is improved in this *** mathematics model of furnace temperature is consisted of mathematical model of billet heat transfer and presetting temperature of *** furnace temperature is optimized to save the energy consumption of the furnace by genetic algorithm.A new method for calculating the fitness function is *** constraint of the temperature difference between the preheating zone and the heating zone is added in the constraint *** simulation results show that the optimized furnace temperature can meet the requirements of slab rolling and the actual furnace temperature ***,the optimized furnace temperature is lower than the furnace temperature before optimization,which achieves the goal of energy conservation.

关键词： industrial furnace genetic algorithm energy saving the fitness function based on the order

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

无线通信中物理层认证关键技术的研究综述

引用

华南理工大学学报（自然科学版） 2018年第5期46卷 47-52页

作者：徐争光华中科技大学电子信息与通信学院湖北武汉430074

物理层认证技术是近年来兴起的新型身份认证方式,它将身份认证信息包含在物理层的无线通信信号中,从而在物理层实现身份认证.该技术一方面能够实现身份认证对上层协议的透明化,降低上层协议的开销;另一方面能避开针对上层协议的身份认... 详细信息

物理层认证技术是近年来兴起的新型身份认证方式,它将身份认证信息包含在物理层的无线通信信号中,从而在物理层实现身份认证.该技术一方面能够实现身份认证对上层协议的透明化,降低上层协议的开销;另一方面能避开针对上层协议的身份认证攻击,提高系统的安全性.文中介绍了物理层认证的两项关键技术——射频指纹和射频水印,为现有文献中提出的技术方案建立了一个统一的分类体系,讨论了现有方案的优缺点,最后探讨了该领域未来的发展方向.

关键词：无线通信物理层认证关键技术射频指纹射频水印

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Cell Mapping Model for Complex Systems with Statistical Trajectory Based on Data Mining

Cell Mapping Model for Complex Systems with Statistical Traj...

引用

第37届中国控制会议

作者： zhengguang xu Lingli Guo Mushu Wang School of Automation and Electrical Engineering University of Science &Technology Beijing Department of mathematics Chang Zhi College

This paper proposes a new type of modeling framework for complex *** kind of systems has the characteristics:it is difficult to establish the mechanism model and its dynamics obey the statistical ***,in order to extract the statistical attributes,an iterative self-organizing data analysis techniques algorithm（ISODATA）of data mining is used to separate process data into a number of *** on these classes,a pattern class space in which each class is taken as an element is ***,to describe the system dynamic with statistical law,a pattern class variable is defined in the pattern class *** further solve the incalculable problem of the pattern class variable,a cell space is introduced where each pattern class variable is measured by cell *** on this measure,an improved controlled autoregressive moving average（CARMA） model described by the pattern class variable is obtained,and model parameters are identified by an improved quantum-behaved particle swarm optimization（IQPSO） *** attractive of the algorithm lies in enhancing the ability of the global development and local *** on the model,the corresponding cell mapping model is derived by the state space representation,which avoid the expansion of ***,the global performance of the pattern class space is analyzed via cell ***,a simulation in the dynamic trajectory of a sintering process is given to demonstrate the feasibility of the proposed approach.

关键词： Statistical law ISODATA Pattern class variable IQPSO Cell mapping

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

An Innovative Modeling Method Based on Pattern-Moving Theory for Sintering Process

An Innovative Modeling Method Based on Pattern-Moving Theory...

引用

第43届中国控制会议

作者： Ning Li zhengguang xu Cheng Han XiangQuan Li School of Automation and Electrical Engineering University of Science and Technology Beijing School of Information Engineering Jingdezhen University

Sintering process is a strongly coupled multi-variable nonlinear system with large lag and initial sensitivity. It contains control target with less manipulate variables than controlled variables, and the phase transitions vary frequently and severely during operation. For that, this paper demonstrated novel description with pattern-moving methodology for the sintering process of nonlinear dynamical system that is an integrated method including pattern recognition and improved generalized cell mapping(GCM). The pattern class variable was first proposed to describe a class of complex systems with motion statistical characteristics. Because of the pattern class variable is not calculated directly, an improved measurement approach combined GCM with Autoregressive Integrated Moving Average(ARIMA) was put forward and applied in actual industrial scene. At last, simulation experiments with real data are completed, which revealed the availability and feasibility of the proposed scheme.

关键词： Complex Systems Modeling Pattern-Moving ARIMA Improved General Cell Mapping

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

基于单边带调制的隐蔽语音传输方案

引用

应用科学学报 2019年第5期37卷 643-650页

作者：余鑫徐争光华中科技大学电子信息与通信学院

提出了一种基于单边带调制的隐蔽语音传输方案,首先通过带阻滤波器将背景通话中的特定频谱成分清除,然后将需要保密传输的语音以单边带调制的形式嵌入到正常语音的频域空洞中,从而实现智能手机上的隐蔽语音传输.该方案制作的原型系统,... 详细信息

提出了一种基于单边带调制的隐蔽语音传输方案,首先通过带阻滤波器将背景通话中的特定频谱成分清除,然后将需要保密传输的语音以单边带调制的形式嵌入到正常语音的频域空洞中,从而实现智能手机上的隐蔽语音传输.该方案制作的原型系统,能够在不改变现有手机软硬件的情况下实现隐蔽语音传输.

关键词：隐蔽语音传输单边带调制原型系统频域嵌入

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

基于独立分量分析的人耳识别方法

引用

计算机工程 2006年第19期32卷 178-180页

作者：徐正光武楠穆志纯北京科技大学信息学院北京100083

应用独立分量分析(ICA)方法从高阶统计相关性角度出发提取人耳图像的特征变量,并采用基于欧氏距离测度的最近距离分类器进行人耳图像的识别。与传统的主成分分析(PCA)方法相比具有更好的鉴别能力。通过与PCA的对比实验结果表明,该方法... 详细信息

应用独立分量分析(ICA)方法从高阶统计相关性角度出发提取人耳图像的特征变量,并采用基于欧氏距离测度的最近距离分类器进行人耳图像的识别。与传统的主成分分析(PCA)方法相比具有更好的鉴别能力。通过与PCA的对比实验结果表明,该方法具有更高的识别率,对姿态和光照的变化也具有较好的鲁棒性。

关键词：人耳识别独立分量分析主成分分析最近距离分类器

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

基于递归的二值图像连通域像素标记算法

引用

计算机工程 2006年第24期32卷 186-188,225页

作者：徐正光鲍东来张利欣北京科技大学信息工程学院北京100083

在研究以前二值图像连通算法的基础上,提出了一种基于递归方法的二值图像连通域像素标记算法。通过对二值图像的扫描和分析可得到二值图像中的连通域划分和连通域的数目。算法主要包括两个步骤:对输入的二值图像进行一次扫描,得到所有... 详细信息

在研究以前二值图像连通算法的基础上,提出了一种基于递归方法的二值图像连通域像素标记算法。通过对二值图像的扫描和分析可得到二值图像中的连通域划分和连通域的数目。算法主要包括两个步骤:对输入的二值图像进行一次扫描,得到所有目标像素的连通域划分和标记的等价对表;利用递归对等价对表进行分析,得到正确的连通标记划分和连通区域数目。实验结果表明,该算法对于任意复杂形状、任意数目(小于1 000)的连通区域都能正确检测。

关键词：二值图像像素标记递归

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：