检索结果-南通市图书馆

第36届中国控制会议

作者： Ziyun Wang Zhicheng Ji Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University

ISBN: (纸本)9781538629185

A fault detection problem of pitch system in wind turbine is considered in this ***,a second-order model is formulated to illustrate the hydraulic pitch of wind turbine and a bilinear transformation method is used to derive the identification model of pitch ***,the fault detection problem is transformed into the parameter estimation issue and a gradient filtering estimation algorithm is ***,the example shows the effectiveness and practicability of the presented fault detecting algorithm.

关键词： Gradient algorithm System identification Fault detection filtering technique Pitch system modeling

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

A Low Phase Noise, Low Power and Wide Tuning Range VCO with filtering technique in ISM Band

引用

Circuits and Systems 2016年第2期7卷 51-57页

作者： Masoud Sabaghi Saeid Marjani Abbas Majdabadi Laser and Optics Research School Nuclear Science and Technology Research School Atomic Energy Organization of Iran Tehran Iran Department of Electrical Engineering Ferdowsi University of Mashhad Mashhad Iran

In this paper, a novel voltage controlled oscillator (VCO) with low phase noise, low power consumption and wide tuning range in the industrial, scientific and medical (ISM) band is proposed for communication systems applications. For improving the phase noise, filtering technique is used and VCO is designed with TSMC CMOS 0.18 μm technology and the power supply is 1.5 V. The simulation results with advanced design system (ADS) shows that phase noise in 1 MHz offset frequency from the carrier is -122 dBc/Hz and tuning range is 2 to 2.8 GHz. The power consumption of the core is 2.49 mW.

关键词： filtering technique Tuning Range Phase Noise Power Consumption Voltage Controlled Oscillators (VCO)

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 filtering based multi-innovation stochastic gradient algorithm for multi-input output-error systems

The filtering based multi-innovation stochastic gradient alg...

引用

第36届中国控制会议

作者： Jiling Ding Department of Mathematics Jining University

ISBN: (纸本)9781538629185

In this paper, we discuss the identification problem of multi-input output-error moving average systems. A filtering based multi-innovation stochastic gradient algorithm with forgetting factors is derived by using the filtering technique with the multi-innovation identification theory, and a multi-innovation extended stochastic gradient algorithm is given for *** simulation results confirm that the proposed algorithms can generate highly accurate parameter estimates compared with the multi-innovation stochastic gradient algorithm.

关键词： Multi-input output system Multi-innovation Stochastic gradient algorithm filtering technique Parameter estimation

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

Data filtering Based Maximum Likelihood Gradient Method for Multivariable Nonlinear Systems

Data Filtering Based Maximum Likelihood Gradient Method for ...

引用

第32届中国控制与决策会议

作者： Feiyan Chen Kai Ji School of Science Xi'an Jiaotong Liverpool University School of Electronic and Information Engineering Suzhou University of Science and Technology

Aiming at the problem of redundant parameters in the over-parameterized model,a maximum likelihood algorithm for a class of multi-input nonlinear systems is studied based on the data filtering *** paper develops a filtering based maximum likelihood generalized extended gradient algorithm for multivariable nonlinear systems with autoregressive moving average noises and a maximum likelihood generalized extended gradient algorithm for ***,the simulation results indicate that the derived algorithms are more effective for identifying multivariable nonlinear systems.

关键词： filtering technique Parameter Estimation Gradient Method Multivariable Nonlinear system

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

Parameter estimation for multivariable Hammerstein systems based on the decomposition technique

Parameter estimation for multivariable Hammerstein systems b...

引用

第37届中国控制会议

作者： Linwei Li Xuemei Ren Yongfeng Lv Minlin Wang School of Automation Beijing Institute of Technology

The focus of this paper is the parameter identification of multivariable Hammerstein controlled autoregressive moving average（for short,CARMA） *** on the internal relationship between the nonlinear submodel and linear subsystem,the multivariable nonlinear CARMA systems are converted into a special identification model which includes the bilinear parameter vector and the other parameter *** order to address the above bilinear parameter vector,we construct two the corresponding estimation models in which each identification model is linear to the corresponding parameter vector by using matrix transformation,and developed an adaptive estimation approach to interactively identify the parameter vectors through the usage of the hierarchical identification principle and filtering *** conditions of convergence are discussed through the usage of the martingale *** comparative simulation results show that the presented approach produces higher estimation accuracy and faster convergence rate than some publishing identification methods.

关键词： Parameter identification multivariable nonlinear systems filtering technique hierarchical identification idea

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

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

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

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：