检索结果-内蒙古大学图书馆

Iterative MOESP type algorithm for discrete time variant system identification

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

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

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

A fast digital fuzzy logic controller: FPGA design and implementation

A fast digital fuzzy logic controller: FPGA design and imple...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： K.M. Deliparaschos F.I. Nenedakis S.G. Tzafestas Intelligent Robotics and Automation Laboratory Department of Electrical Engineering and Computer Science National and Technical University of Athens Athens Greece

This paper describes an improved approach to design a Takagi-Sugeno zero-order type fast parameterized digital fuzzy logic controller (DFLC) processing only the active rules (rules that give a non-null contribution for a given input data set), at high frequency of operation, without significant increase in hardware complexity. To achieve this goal, an improved method of designing the fuzzy controller model is proposed that significantly reduces the time required to process the active rules and effectively increases the input data processing rate. The DFLC discussed in this paper achieves an internal core processing speed of at least 200 MHz, featuring two 8-bit inputs and one 12-bit output, with up to seven trapezoidal shape membership functions per input and a rule base of up to 49 rules. The proposed architecture was implemented in a field programmable gate array (FPGA) chip with the use of a very high-speed integrated-circuits hardware-description-language (VHDL) and advanced synthesis and place and route tools

关键词： Fuzzy logic Digital control Field programmable gate arrays Takagi-Sugeno model Process control Frequency Hardware Design methodology Fuzzy control Data processing

来源：评论

学校读者我要写书评

暂无评论

Recognizing interaction from a robot's perspective

Recognizing interaction from a robot's perspective

引用

IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： T. Salter F. Michaud K. Dautenhahn D. Letourneau S. Caron LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Department of Electrical Engineering and Computer Engineering Université de Sherbrook Sherbrooke QUE Canada Adaptive Systems Research Group School of Computer Science University of Herfordshire Hatfield UK

For meaningful interaction between a robot and a human, an autonomous robot must recognize whether the experienced situation is created by people or by the environment. Using only proprioceptive data from a mobile robotic platform, we discover that it is possible to distinguish sensory data patterns involving interaction. These patterns are obtained whilst navigating varying environments, both human populated and unpopulated. The paper reports the initial set of trials using Roball, a spherical mobile robot. Also described is the experimental methodology currently followed to validate the hypothesis that child interaction can be perceived directly from navigation sensors onboard a robotic platform.

关键词： Robot sensing systems Mobile robots Human robot interaction Navigation intelligent robots Sensor phenomena and characterization Infrared sensors Educational institutions Plastics Mobile computing

来源：评论

学校读者我要写书评

暂无评论

Wall following and obstacle avoidance results from a multi-DSP sonar ring on a mobile robot

Wall following and obstacle avoidance results from a multi-D...

引用

IEEE International Conference on Mechatronics and Automation

作者： S. Fazli L. Kleeman ARC Centre for Perceptive and Intelligent Machines in Complex Environments Intelligent Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University VIC Australia

Sensing capabilities of a multi-DSP sonar ring are demonstrated with wall following and obstacle avoidance behaviour. The autonomous mobile robot called "Sombrero" moves perpendicular to the nearest object on the left while controlling the distance to that object and generates high quality sonar maps. The wall following and obstacle avoidance behaviour is very simple due to the accurate and timely range and bearing (incidence angle) information provided by the advanced sonar ring. The advanced sonar ring consists of 48 ultrasonic transducers, 24 acting as transceivers and 24 acting as receivers, seven custom designed DSP echo processor boards and six analogue boards. The sonar ring is able to cover 360 degrees around robot with simultaneously firing of all 24 transmitters. Transmission and echo analysis are performed at repetition rates of about 10 Hz, for ranges up to six metres. Accurate distance and bearing measurements of objects are performed by the DSP system using matched filtering techniques. The robot is able to follow walls of various shapes such as a square, circle, concave corner and convex corner. Sombrero controls its motion based on the range and bearing data captured from the advanced sonar ring every 100 msec while moving with a constant speed. Experimental results illustrate the effectiveness of the sonar ring and the quality of the generated local maps.

关键词： Mobile robots Digital signal processing Sonar measurements Ultrasonic transducers Transceivers Process design Transmitters Performance analysis Performance evaluation Matched filters

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：