检索结果-内蒙古大学图书馆

control of Flexible Joint Manipulator via Reduced Rule-Based Fuzzy control with Experimental Validation

International Scholarly Research Notices 2012年第1期2012卷

作者： Mojtaba Rostami Kandroodi Mohammad Mansouri Mahdi Aliyari Shoorehdeli Mohammad Teshnehlab Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iranut.ac.ir Department of Control Engineering Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Irankntu.ac.ir Department of Mechatronics Engineering Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Irankntu.ac.ir

A novel structure of fuzzy logic controller is presented for trajectory tracking and vibration control of a flexible joint manipulator. The rule base of fuzzy controller is divided into two sections. Each section includes two variables. The variables of first section are the error of tip angular position and the error of deflection angle, while the variables of second section are derivatives of mentioned errors. Using these structures, it would be possible to reduce the number of rules. Advantages of proposed fuzzy logic are low computational complexity, high interpretability of rules, and convenience in fuzzy controller. Implementing of the fuzzy logic controller on Quanser flexible joint reveals efficiency of proposed controller. To show the efficiency of this method, the results are compared with LQR method. In this paper, experimental validation of proposed method is presented.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Intelligent control of human prosthetic eye movements system for the emotional support by a huggable pet-type robot via Gaussian RBF neural network based on sliding mode control

Intelligent Control of human prosthetic eye movements system...

引用

2011 2nd International Conference on control, Instrumentation and Automation, ICCIA 2011

作者： Farivar, Faezeh Kandroodi, Mojtaba Rostami Shoorehdeli, Mahdi Aliyari Department of Mechatronics Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467316903

In this study, intelligent control of human eye movements system for the emotional support by a huggable pet type robot via Gaussian RBF neural network based on sliding mode control is presented. Despite active research and significant progress in the last three decades on control of human eye movements, it remains challenging issue due to its applications in prosthetic eyes and robotics. The geometry and model of human eye movements system are investigated and this system is considered as a nonlinear control system. The specified model may only be an academic exercise. It can have scientific importance in understanding of the human movement system in general. Also, it can be useful for robotics. By using Gaussian RBF Neural Networks Based on Sliding Mode control, the control goal can be achieved. The adaptation laws of designed controllers are obtained based on sliding mode control methodology without calculating the Jacobian of the system. The proposed method is capable to control of human eye movements system. Intelligent methods such as artificial neural networks are proposed to control the human eye movements and numerical simulations are presented. It is concluded that the intelligent controls applied to control of human eye movements system are emulated from the neural controls in biological system. © 2011 IEEE.

关键词： Sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Temperature-Aided Fingerprinting for localization in wireless local area networks

Temperature-Aided Fingerprinting for localization in wireles...

引用

International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Kave Aryanpoo Hadi Moradi Robotics and AI Laboratory School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Robotics and AI Laboratory Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Wireless signal fingerprints have been used to localize mobile devices in recent years. Especially, WLAN signals are of great importance, because of the ubiquity of WLAN infrastructure. In this paper, the possibility of correlation between temperature and signal strength is investigated to improve the traditional fingerprinting method by incorporating the temperature into the process. The new approach is called the Temperature-Aided Fingerprinting (TAF) and even with current WLAN-enabled devices, which usually do not have a thermometer, TAF achieves a better performance than the traditional method. At the end, we open up a hypothesis that the observed difference is not caused by the temperature, rather by the crowdedness and the dynamics of the environment. This is left to be investigated in the future.

关键词： Fingerprint recognition Temperature distribution Educational institutions Buildings Temperature sensors Temperature measurement

来源：评论

学校读者我要写书评

暂无评论

Effective supervised classification of fMRI activation maps between populations by spatial descriptors

Effective supervised classification of fMRI activation maps ...

引用

2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011

作者： Eshaghian, Shaghayegh Hossein-Zadeh, Gholam-Ali Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States

ISBN: (纸本)9781457715358

The major obstacle in discrimination between different groups of subjects in a common cognitive state, by functional Magnetic Resonance Imaging (fMRI), has been the high intersubject functional and anatomical variability in the spatial patterns of brain activity. To overcome this, we have used two types of spatial descriptors that characterize the brain regions of interest (ROIs) involved in the cognitive tasks. They include, firstly three-dimensional invariant moment descriptors (3-DMIs), and secondly k-dimensional feature vectors based on concentric spheres. Both types of descriptors are applied to analyze the spatial patterns of cognitive activity of a challenging task and then to classify them across two different subject groups. SVM classifiers along with sequential floating forward feature selection technique are applied to the extracted descriptors of each ROI across the subjects. Our method is applied to experimental fMRI data with the aim of discriminating mental status of heroin IV (Intravenous) abusers and from of those in control subjects in a visual cue task which can induce drug craving. Our results demonstrate that 3-D texture of activation maps provide a good discrimination (with high accuracy) between healthy and addict group. © 2011 IEEE.

关键词： Brain

来源：评论

学校读者我要写书评

暂无评论

Fast Outcome Prediction based on Slow Cause Estimation: A human Inspired Approach in Air hockey game

Fast Outcome Prediction based on Slow Cause Estimation: A hu...

引用

IEEE International Conference on robotics and Biomimetics

作者： S. A. Ghazvini H. Moradi M. Nili Ahmadabadi B. Araabi School of Electrical and Computer Engineering the University of Tehran Control and Intelligent Processing Center of Excellence at the Electrical and Computer Engineering Department at the University of Tehran

ISBN: (纸本)9781457721366

In this paper, we present an approach, inspired by human behavior, in predicting the state of a high speed object based on the state of another object that causes such a high speed, e.g. predicting the state of a high speed puck which is hit by a lower speed paddle in the air hockey game. The proposed approach eliminates the need for high speed sensors, such as high speed cameras and grabbers, for capturing and processing high speed motions. This approach has been implemented and tested on an air hockey simulator and in real images taken by an off-the-shelf camera. The results show that the low speed of a paddle in the air hockey can be easily captured by an off-the-shelf camera and then the state of the puck, which is the speed and its pose, after being hit by the paddle can be calculated.

关键词： Blades Prognosis Hockey Puck High speed speed sensor Cameras-High speed low speed Human behavior air Respiratory Inspiration Hunting Game theory Game animals

来源：评论

学校读者我要写书评

暂无评论

Wavelet-based EEG denoising for automatic sleep stage classification

Wavelet-based EEG denoising for automatic sleep stage classi...

引用

21st International Conference on Electronics Communications and Computers, CONIELECOMP 2011

作者： Estrada, Edson Nazeran, Homer Sierra, Gustavo Ebrahimi, Farideh Setarehdan, S. Kamaledin Department of Electrical and Computer Engineering University of Texas at El Paso El Paso TX United States Instituto de Ciencias BiomédicasUniversidad Autónoma de Ciudad Juárez Cd. Juárez Chih Mexico Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424495573

In automatic sleep stage classification, as in any other signal processing task involving the easily contaminated EEG signals, denoising constitutes a crucial pre-processing step that must be addressed before carrying out further analysis on the EEG signals. Discrete wavelet transform offers an effective solution for denoising nonstationary signals such as EEG due to its shrinkage property. In this paper, we explored the application of wavelet denoising method to EEG signals acquired during different sleep stages classified according to the RK rules, with the objective to identify suitable thresholding rules and threshold values. Preliminary results showed that the combination of soft thresholding rule applied to the Detailed wavelet coefficients with the Universal threshold value produced better performance measures such as a smaller Minimum Squared Error (MSE) and a larger signal-to-Noise Ratio (SNR). Similarly improved results were obtained for Stage 1, Stage 2, Stage 3, Stage 4 and REM stage EEG signals using this combination. Such thresholding rule and values are equally well applicable to denoising EEG epochs acquired from deep sleep stages. © 2011 IEEE.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Simultaneous implementation of optimal demand response and security constrained Unit Commitment [abstract only]

Simultaneous implementation of optimal demand response and s...

引用

Conference on electrical Power Distribution Networks (EPDC)

作者： Mohsen Kia Mir Mohammad Reza Sahebi Esmaeil Abedini Duki Seyed Hamid Hosseini Center of Excellence in Power System Control and Management Department of Electrical Engineering Sharif University of Technology Tehran Iran

Unit Commitment is the optimization process for minimizing the total cost of real power generation meeting the generating units and the system constraints. With the restructuring in power systems, the matter of great concern is the fuel cost and consequently electricity price increase in some hours of the day. Accordingly, the optimum performance of Demand Side Management (DSM) has been gaining great attention recently. In this paper, the effect of the optimum performance of Emergency Demand Response Program (EDRP) on the cost of the unit commitment problem considering the line flow constrains is scrutinized. Due to the fact that the simultaneous adoption of the unit commitment and demand response program is a complex non-linear problem with numerous discrete and continuous variables, it is logical to use the linear programming technique to effectively deal with these parameters. Having the GAMS software and CPLEX method exploited, the proposed method proved its effectiveness by numerically applied to a typical 3-bus and the IEEE 24-bus systems.

关键词： Indexes Security

来源：评论

学校读者我要写书评

暂无评论

Composite system well-being analysis using sequential Monte Carlo simulation and fuzzy algorithm

Composite system well-being analysis using sequential Monte ...

引用

International Conference on electrical and Electronics engineering, ELECO

作者： Bahman Alinejad Mahmud Fotuhi-Firuzabad Masood Parvania Center of Excellence in Power System Management and Control Department of electrical Engineering Sharif University of Technology Tehran Iran

Health, Margin and Risk states which in recent years are known as well-being reliability indices, provide a comprehensive adequacy assessment of bulk power system reliability studies. Conventional reliability information about power system operation only considered health and risk states which were not often adequate criteria both in system planning and utilization. It seems margin state as the intermediate condition between health and risk must be considered. Well-being method which is a approach to power system generation adequacy evaluation incorporates deterministic criteria in a probabilistic framework and provides system operating information in addition to risk assessment and can be evaluated using analytical techniques. The most important part of this approach is the algorithm for calculating the probability of each state. Besides, all system components, their behavior and their operational conditions such as transmission lines overloads and voltage drops should be considered in the calculations. In this context, this paper proposes a method to calculate more precise well-being indices using Monte Carlo simulation procedure and Fuzzy Logic algorithm while AC load flow is utilized for contingency analysis. The proposed method is then demonstrated on the RBTS to demonstrate the instance results.

关键词： Reliability Algorithm design and analysis Power system reliability Power transmission lines Monte Carlo methods Fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

control of microgrids: Aspects and prospects

Control of microgrids: Aspects and prospects

引用

IEEE International Conference on Networking, Sensing and control

作者： A. Salehi Dobakhshari S. Azizi A. M. Ranjbar Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

A microgrid is a controllable component of the smart grid defined as a part of distribution network capable of supplying its own local load even in the case of disconnection from the upstream network. Microgrids incorporate large amount of renewable and non-renewable distributed generation (DG) that are connected to the system either directly or by power electronics (PE) interface. The diversity of technologies used in DGs and loads, high penetration of DGs, economic operation of DGs, dynamics of low-inertia conventional DGs and PE interfaced inertialess DGs and smart operation by means of enhanced communication infrastructure have raised challenges in widespread utilization of microgrids as basis of smart grids. Power quality, protection, economic and secure operation, active management, communication, dynamics and control of microgrids are among the most important issues under research both in academy and industry. Technical concerns over dynamics of microgrids especially in autonomous (island) mode necessitate revision of current paradigms in control of energy systems. This paper addresses current challenges towards controlling microgrids and surveys dynamic modeling, stability and control of microgrids. Future trends in realizing smart grids through aggregation of microgrids and research needs in this path are discussed at the end of this paper.

关键词： Load modeling Power system stability Power system dynamics Stability analysis Smart grids Frequency control Mathematical model

来源：评论

学校读者我要写书评

暂无评论

Universal image steganalysis against spatial-domain steganography based on energy distribution of singular values

Universal image steganalysis against spatial-domain steganog...

引用

7th International Conference on Information Technology and Application, ICITA 2011

作者： Shojaei-Hashemi, Anahita Soltanian-Zadeh, Hamid Ghaemmagham, Shahrokh Kamarei, Mahmoud School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Electronics Research Institute Sharif University of Technology Tehran Iran

ISBN: (纸本)9780980326741

A passive image steganalysis method is proposed to universally detect spatial-domain steganography schemes. It is shown to have better performance than universal steganalyzers known to be powerful in spatial domain, including the WFLogSv and the WAM methods. This level of accuracy is the result of improving the WFLogSv steganalyzer by considering a more comprehensive relationship between the singular values of each image block and the linear correlation of the rows and the columns. That is, instead of the closeness of the lower singular values to zero, the energy distribution of the singular values is investigated. An innovative measure is proposed for this investigation, which is inspired from arithmetic mean-geometric mean inequality. Experimental results confirm the supremacy of the proposed steganalysis scheme over its counterparts.

关键词： Singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

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

请选择保存的检索档案：

请选择收藏分类：

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

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

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：