检索结果-内蒙古大学图书馆

2005 IEEE Industry Applications Conference, 40th IAS Annual Meeting

作者： Mohagheghi, Salman Venayagamoorthy, Ganesh K. Rajagopalan, Satish Harley, Donald G. School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409-0249 United States

ISBN: (纸本)0780392086

A Mamdani based fuzzy logic controller is designed and implemented for controlling a STATCOM, which is connected to a 10 bus multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently provide control signals for the STATCOM during different disturbances in the network. The proposed controller is implemented using the M67 DSP board and is interfaced to the multimachine power system simulated on a Real-Time Digital Simulator (RTDS). Experimental results are provided, showing that the proposed controller provides more effective damping than the conventional PI controller in a typical large scale disturbance, i.e., a three phase short circuit. © 2005 IEEE.

关键词： Fuzzy control

来源：评论

学校读者我要写书评

暂无评论

A neural network based Wide Area Monitor for a power system

A neural network based Wide Area Monitor for a power system

引用

2005 IEEE Power engineering Society General Meeting

作者： Li, Xiaomeng Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla MO 65409 United States Department of Electrical and Computer Engineering University of Missouri Rolla United States South African Institute of Electrical Engineers IEEE St. Louis Computational Intelligence Department of Task Force on Intelligent Control Systems Secretary of the Intelligent Systems Subcommittee IEEE Power Engineering Society

ISBN: (纸本)078039156X

With the deregulation of power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area controllers (WACs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. The power system is highly nonlinear system with fast changing dynamics. In order to have an efficient WAC, an online system monitor/predictor is required to provide inter-area information to the WAC from time to time. This paper presents the design of an online Wide Area Monitor (WAM) using a neural network called the Wide Area Neuroidentifier (WANI). The WANI is used to predict ahead the speed deviations of generators in the different areas using phasor measurement unit (PMU). Results are presented to show the effectiveness of the wide area monitor for different disturbances. © 2005 IEEE.

关键词： Wide area networks

来源：评论

学校读者我要写书评

暂无评论

Iterative MOESP type algorithm for discrete time variant system identification

Iterative MOESP type algorithm for discrete time variant sys...

引用

20th IEEE International Symposium on intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05

作者： Tamariz, Annabell D. R. Bottura, Celso P. Barreto, Gilmar Nucleus of Research and Development in Computer Science University Cndido Mendes UCAM-Campos Rio de Janeiro Brazil Control and Intelligent Systems Laboratory School of Electrical and Computer Engineering State University of Campinas So Paulo Brazil

ISBN: (纸本)0780389360

With the main objective to develop an iterative state-space identification algorithm for linear multivariable discrete time-variant systems, in this study we propose and implement a computational procedure we call MOESP_VAR that is based in subspace methods of the type "Multivariable Output-Error State sPace" (MOESP). In addition the algorithm is tested with criterion and experimentation that we also propose. ©2005 IEEE.

关键词： Discrete time control systems

来源：评论

学校读者我要写书评

暂无评论

A comparison of PSO and backpropagation for training RBF neural networks for identification of a power system with statcom

A comparison of PSO and backpropagation for training RBF neu...

引用

2005 IEEE Swarm Intelligence Symposium, SIS 2005

作者： Mohaghegi, Salman Del Valle, Yamille Venayagamoorthy, Ganesh K. Harley, Ronald G. School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409-0249 United States University of KwaZulu Natal South Africa

ISBN: (纸本)0780389166

Backpropagation algorithm is the most commonly used algorithm for training artificial neural networks. While being a straightforward procedure, it suffers from extensive computations, relatively slow convergence speed and possible divergence for certain conditions. The efficiency of this method as the training algorithm of a Radial Basis Function Neural Network (RBFN) is compared with that of Particle Swarm Optimization, for neural network based identification of a small power system with a Static Compensator. The comparison of the two methods is based on the convergence speed and robustness of each method. © 2005 IEEE.

关键词： Radial basis function networks

来源：评论

学校读者我要写书评

暂无评论

An adaptive mamdani fuzzy logic based controller for a static compensator in a multimachine power system

An adaptive mamdani fuzzy logic based controller for a stati...

引用

13th International Conference on intelligent systems Application to Power systems, ISAP'05

作者： Mohagheghi, S. Venayagamoorthy, G.K. Harley, R.G. IEEE School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri-Rolla MO 65409-0249 United States University of KwaZulu-Natal South Africa

ISBN: (纸本)1599750287

An adaptive Mamdani based fuzzy logic controller has been designed for controlling a Static Compensator (STATCOM) in a multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently control a STATCOM during different disturbances in the network. A model free approach using the controller output error is applied for training purposes that adaptively changes the controller output parameters based on a gradient descent method. Moreover, shrinking span membership functions are used for a more stable and accurate control performance. Simulation results show that the proposed controller outperforms the conventional PI controller during dynamic and transient disturbances. © 2005 ISAP.

关键词： Programmable logic controllers

来源：评论

学校读者我要写书评

暂无评论

Real-time dual heuristic program-ming-based neurocontroller for a turbogenerator in a multimachine power system

Real-time dual heuristic program-ming-based neurocontroller ...

引用

作者： Venayagamoorthy, Ganesh K. Harle, Ronald G. Wunsch, Donald C. Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla MO 65409 United States Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States

Based on Dual Heuristic Programming (DHP), a real-time implementation of a neurocontroller for excitation and turbine control of a turbogenerator in a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulation and real-time hardware implementation on a three-machine system demonstrate that the DHP neurocontroller is much more effective than conventional PID controllers, the automatic voltage regulator, power system stabilizer and the governor, for improving dynamic performance and stability under small and large disturbances. © 2005 CRL Publishing Ltd.

关键词： Heuristic programming

来源：评论

学校读者我要写书评

暂无评论

A dynamic recurrent neural network for wide area identification of a multimachine power system with a FACTS device

A dynamic recurrent neural network for wide area identificat...

引用

13th International Conference on intelligent systems Application to Power systems, ISAP'05

作者： Mohagheghi, S. Venayagamoorthy, G.K. Harley, R.G. IEEE School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409-0249 United States University of KwaZulu-Natal South Africa

ISBN: (纸本)1599750287

Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynamics in a relatively small system, their performance degrades as the dimensions of the plant to be identified are increased, for example in supervisory level identification of a multimachine power system for Wide Area Control purposes. Recurrent neural networks can deal with such a problem by modeling the system as a set of differential equations and with less order of complexity. Such a recurrent neural network identifier is designed and implemented for supervisory level identification of a multimachine power system with a FACTS device. Simulation results are provided to show that the neuroidentifier can track the system dynamics with sufficient accuracy. © 2005 ISAP.

关键词： Electric power systems

来源：评论

学校读者我要写书评

暂无评论

Optical flow-based tracking of deformable objects using a non-prior training active feature model 5th

Optical flow-based tracking of deformable objects using a no...

引用

5th Pacific Rim Conference on Multimedia, PCM 2004

作者： Kim, Sangjin Kang, Jinyoung Shin, Jeongho Lee, Seongwon Paik, Joonki Kang, Sangkyu Abidi, Besma Abidi, Mongi Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-Dong Tongjak-Ku Seoul156-756 Korea Republic of Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering The University of Tennessee KnoxvilleTN37996-2100 United States

ISBN: (纸本)9783540239857

This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects, and provides real-time, robust tracking. The proposed object tracking procedure can be divided into two steps: (i) optical flow-based tracking of feature points and (ii) NPT-AFM for robust tracking. In order to handle occlusion problems in object tracking, feature points inside an object are estimated instead of its shape boundary of the conventional active contour model (ACM) or active shape model (ASM), and are updated as an element of the training set for the AFM. The proposed NPT-AFM framework enables the tracking of occluded objects in complicated background. Experimental results show that the proposed NPT-AFM-based algorithm can track deformable objects in real-time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Optical flows

来源：评论

学校读者我要写书评

暂无评论

Smart archive: a component-based data mining application framework

Smart archive: a component-based data mining application fra...

引用

International Conference on intelligent systems Design and Applications (ISDA)

作者： P. Laurinen L. Tuovinen J. Roning Intelligent Systems Group Computer Engineering Laboratory Department of Electrical and Information Engineering University of Oulu Finland

Implementation of data mining applications is a challenging and complicated task, and the applications are often built from scratch. In this paper, a component-based application framework, called smart archive (SA) designed for implementing data mining applications, is presented. SA provides functionality common to most data mining applications and components for utilizing history information. Using SA, it is possible to build high-quality applications with shorter development times by configuring the framework to process application-specific data. The architecture, the components, the implementation and the design principles of the framework are presented. The advantages of a framework-based implementation are demonstrated by presenting a case study which compares the framework approach to implementing a real-world application with the option of building an equivalent application from scratch. In conclusion, the paper presents a lucid framework for creating data mining applications and illustrates the importance and advantages of using the presented approach.

关键词： Data mining Application software Delta modulation computer architecture Decision support systems Software architecture intelligent systems Algorithm design and analysis systems engineering and theory Laboratories

来源：评论

学校读者我要写书评

暂无评论

DYNAMIC GAIT PATTERN GENERATION WITH REINFORCEMENT LEARNING

引用

IFAC Proceedings Volumes 2005年第1期38卷 151-156页

作者： Mustafa Suphi Erden Kemal Leblebicioĝlu Department of Electrical & Electronics Engineering Computer Vision and Intelligent Systems Research Laboratory Middle East Technical University 06531 Ankara Turkey

This paper presents the gait pattern generation work performed for the six-legged robot EA308 developed in our laboratory. The aim is to achieve a dynamically developing gait pattern generation structure using reinforcement learning. For the six legged robot a simplified simulative model is constructed. The algorithm constructs a radial basis function neural network (RBFNN) to command proper leg configurations to the simulative robot. The weights of the RBFNN are learned using reinforcement learning. The developed structure succeeded in learning gait patterns compatible with different speeds of the robot.

关键词： Six-legged robot walking gait pattern reinforcement learning radial basis function neural network

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：