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Frontiers in Education (FIE) Conference

作者： A. Jutman A. Tsertov A. Tsepurov I. Aleksejev R. Ubar H.-D. Wuttke Department of Computer Engineering Tallinn University of Technology Tallinn Estonia Faculty of Informatics and Automation Ilmenau Technical University Ilmenau Germany

Linear feedback shift registers (LFSR) and other pseudo-random pattern generators (PRPG) have become one of the central elements used in testing and self testing of contemporary complex electronic systems like processors, controllers, and high-performance integrated circuits. The current paper describes a training and research tool for learning basic and advanced issues related to PRPG-based test pattern generation. Unlike other similar systems, this tool facilitates study of various test optimization problems, allows fault coverage analysis for different circuits and with different LFSR parameters. The main didactic aim of the tool is presenting complicated concepts in a comprehensive graphical and analytical way. The multi-platform JAVA runtime environment allows for easy access and usage of the tool both in a classroom and at home. The BIST analyzer represents an integrated simulation, training, and research environment that supports both analytic and synthetic way of learning. Due to the above mentioned facts the tool provides a unique training platform to use in courses on electronic testing and design for testability. The BIST Analyzer has got a positive feedback from students of Darmstadt TU (Germany) and Tallinn TU (Estonia).

关键词： Built-in self-test Circuit testing Test pattern generators Electronic equipment testing Automatic testing System testing Linear feedback shift registers Integrated circuit testing Centralized control Linear feedback control systems

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Exponential Synchronization of Complex Delayed Dynamical Networks with General Topology

Exponential Synchronization of Complex Delayed Dynamical Net...

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Proceedings of the 46th IEEE Conference on Decision and Control, Pages 460-918

作者： Tao Liu Georgi M. Dimirovski Jun Zhao Key Laboratory of Integrated Automation of Process Industry Ministry of Education Faculty of Information Science and Engineering Northeastern University Shenyang Liaoning China Faculty of Electrical and Computer Engineering SS Cyril and Methodius University Skopje Macedonia Department of Computer Engineering Dogus University Istanbul Turkey

ISBN: (纸本)9781424414970;1424414970

The global exponential synchronization of complex delayed dynamical networks possessing general topology is investigated in this contribution. The network model considered can represent both the directed and undirected weighted networks. Novel delay-dependent linear controllers are designed via Lyapunov stability theory and appropriate property of the coupling matrix. It is shown that the controlled network is globally exponentially synchronized with a given convergence rate. Two examples of typical dynamical networks with coupling delays of this class, one possesses directed and the other with undirected coupling topology, both having a Lorenz system at each node, have been used to demonstrate and verify the novel control design proposed.

关键词： Mentoring topology design control dynamic network Network Exponential network model linear controllers

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ML DESIGNERTM as simulation tool in robotics

ML DESIGNERTM as simulation tool in robotics

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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Mario Schulz Ivan Velickovic Sasa Andelkovic Volker Zerbe Goran S. Dordevic Computer Science and Automation Faculty System and Control Theory Department Technical University Ilmenau Ilmenau Germany Faculty of Electronics engineering Robotics Lab University of Nis Nis Serbia

Robots are complex systems that require multidisciplinary approach to development. Hence, both research and production of a robotic system require a tool that would provide means for coordination between teams with different areas of expertise as well as the ability to integrate, simulate and debug the system in a comprehensive way. Also, with the growing popularity of service robotics, research and modeling of human-machine interaction gains the attention. From a simulation tool, it is expected to support the means for describing this interaction. For that purpose we are investigating the ML Designer TM , not just as a possible simulation tool, but also as a modeling and design paradigm. For verification purposes we will compare it against MATLAB Simulink TM . A pneumatic system will be modeled with both tools and a comparison will be performed.

关键词： Mathematical model Robot kinematics Cleaning System testing Power system modeling MATLAB Pneumatic systems Control systems Level control Costs

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Communication and Knowledge Intensive engineering Modeling in Virtual Spaces

Communication and Knowledge Intensive Engineering Modeling i...

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International Symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： Laszlo Horvath Imre J. Rudas Simona Vaivoda Zsuzsa Preitl Institute of Intelligent Engineering Systems John von Neumann Faculty of Informatics Budapest Hungary Department of Automation and Applied Informatics Fac. of Automation and Computer Science Polytechnic University of Timisoara Timisoara Romania

engineering for development, production, and other product related company activities are being organized in virtual systems for lifecycle management of product data. This new age of engineering is a result of the continuous development for step-by-step moving of product design, analysis and other production engineering activities from conventional environments to modeling environments during the eighties and nineties. However, more developments were needed in knowledge based decision assistance in order to realize modeling of human intent, increasingly complex product structures, and efficient communication of product data. In recent years, a great change of engineering methodology and software produced program products in knowledge technology and advanced local and global communication. Group work of engineers is increasingly organized around special portals for engineering on the Internet. Although intensive research activities produced outstanding methods in knowledge-based solutions for engineering, these methods have not widespread in the industrial modeling practice. This paper attempts to evaluate the possibility that recent communication and knowledge intensive engineering modeling can be developed into communication and knowledge intensive virtual space technology. Paper starts with a discussion on integrated application of different groups of product modeling techniques. Following this, methods are evaluated for the management of product data (PDM). Next section emphasizes aspects, contexts, and intents as primary issues in modeling for relationships in product data and decisions by engineers. Finally, methods for the management of engineering activities for lifecycle of products are summarized, considering communities of engineers around Internet portals.

关键词： Knowledge engineering Data engineering engineering management Portals Internet Production systems Design engineering Product design Production engineering Humans

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New Neurofuzzy Training Procedure Based on Participatory Learning Paradigm

New Neurofuzzy Training Procedure Based on Participatory Lea...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Michel Hell Pyramo Costa Fernando Gomide Department of Computer Engineering and Automation (DCA) Faculty of Electrical and Computer Engineering (FEEC) State University of Campinas Sao Paulo Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil

In this paper we introduce a new approach to train neurofuzzy networks using the participatory learning concept. The participatory learning paradigm tends to emulate the human learning mechanism where an acceptance mechanism determines which observation is used for learning based upon their compatibility with the current beliefs. The performance of the proposed learning scheme is illustrated by an example involving a nonlinear system modeling problem: the thermal modeling of power transformers. Comparisons with other methods reported in the literature and between two dual network structures are also included. The experimental results show the effectiveness of participatory learning in neurofuzzy networks training.

关键词： Power system modeling Fuzzy systems Power transformers Training data Humans Nonlinear systems Neural networks Fuzzy sets Power engineering computing Power engineering and energy

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An Initial Rotor Position Estimation Method for Switched Reluctance Motor without Using Machine Parameter

An Initial Rotor Position Estimation Method for Switched Rel...

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International Conference on Electrical Machines and Systems 2007(ICEMS2007)(第十届国际电机与系统会议)

作者： K. Tungpimolrut S. Kachapornkul P.Somsiri P. Jitkreeyarn Tadashi Fukao Akira Chiba Industrial Control and Automation Laboratory Section National Electronics and Computer Technology C Department of Electrical Engineering Faculty of Science and Technology Tokyo University of Science

In this paper a method to estimate the initial rotor position of the switched reluctance motor (SRM) at the stand still condition is proposed. The proposed method can be implemented by the simple microcontroller based system, and it is not necessary to know the magnetization curves. The impulse gate drive signal is applied and the winding current is detected and its approximate value is used for calculating the rotor position. The compensation method to reduce the estimation error thorough one cycle is also mentioned. The proposed method is implemented with the 6-stator-pole and 4- rotor-pole, 1.5 kW 3-phase switched reluctance motor.

关键词： Switched reluctance motor initial rotor position estimation

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NEURAL-ADAPTIVE CONTROL BASED ON ADALINE NEURONS WITH APPLICATION TO A POWER SYSTEM

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IFAC Proceedings Volumes 2007年第18期40卷 457-464页

作者： Ioan Filip Octavian Prostean Florin Dragan Cristian Vasar Department of Control System Engineering “Politehnica” University from Timisoara Faculty of Automation and Computer Science 300223 Timisoara Romania Phone: (+40) 0256-403238 E-Mail: ioan.filip@aut.upt.ro

A neural-adaptive control solution is exposed in this paper. The control strategy is based on the linear adaptive neuron, which is called ADALINE. Unlike other neural control solutions, based on perceptrons neurons characterized by a long time learning process and a difficult on-line tuning of weights, this approach uses a fast algorithm, which adapts on-line the neuron's weights. Therefore the non-linear character of control law is induced by the permanent changes of neuron weights, which are variable parameters of controller. A set of study cases is done, with application to the excitation control of a synchronous generator.

关键词： adaptive control neural networks ADALINE modelling simulation synchronous generator

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SHORT TERM ELECTRIC LOAD FORECAST WITH ARTIFICIAL NEURAL NETWORKS

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IFAC Proceedings Volumes 2007年第18期40卷 443-449页

作者： Vasar Cristian Szeidert Iosif Filip Ioan Prostean Gabriela Department of Control System Engineering “Politehnica” University from Timisoara Faculty of Automation and Computer Science 300223 Timisoara Romania Phone: (+40) 256-403237 E-Mail: cristian.vasar@aut.upt.ro

This paper presents issues regarding short term electric load forecasting using feedforward and Elman recurrent neural networks. The study cases were developed using measured data representing electrical energy consume from Banat area. There were considered 35 different types of structure for both feedforward and recurrent network cases. For each type of neural network structure were performed many trainings and best solution was selected. The issue of forecasting the load on short term is essential in the effective energetic consume management in an open market environment.

关键词： neural networks prediction problems load forecasting feedforward networks simulation

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Federated filtering for fault tolerant estimation and sensor redundancy management in coupled dynamics distributed systems

Federated filtering for fault tolerant estimation and sensor...

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Mediterranean Conference on Control and automation (MED)

作者： A. Edelmayer M. Miranda Faculty of Engineering Department of Chemical Engineering Laboratory of Unit Operations University de Los Andes Merida Venezuela Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

This paper discusses the application of the idea of federated filtering to the estimation of intrinsically nonlinear distributed systems by examining its impacts on filtering performance by using the Extended Kalman Filter (EKF) as state estimator. Specifically, the performance of the traditional centralized solution is compared with the filtering structure obtained using the federating idea, and their conceptions, and their ability to balance between fault tolerance and estimation accuracy is examined. Our research demonstrates how successfully the EKF for solving nonlinear estimation problems in federated structures can be used, noting that the idea of federation have only been demonstrated for linear problems previously. In addressing the demands of both fault tolerance and estimation accuracy, it is shown that increased filtering accuracy is relied on the proper choice of sharing of the error covariance information between local filters, while sensor fault tolerance is provided by the utilization of an appropriate resetting policy of the filter.

关键词： Fault tolerant systems Sensor systems Redundancy Nonlinear filters Fault tolerance Control systems Information filtering Information filters computer architecture Sensor arrays

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Decentralized Synchronization of an Uncertain Complex Dynamical Network

Decentralized Synchronization of an Uncertain Complex Dynami...

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American Control Conference (ACC)

作者： Wei-Song Zhong Georgi M. Dimirovski Jun Zhao Key Laboratory Integrated Automation of Process Industry-Ministry of Education and School of Information Science Engineering Respectively Northeastern University Shenyang Liaoning China SS Cyril and Methodius Faculty of Electrical Engineering Information Technologies Skopje Macedonia Department of Computer Engineering Dogus University Kadikoy Turkey

A class of uncertain time-varying complex dynamical networks is studied in this paper and a model introduced. On the grounds of that model then the locally and globally decentralized synchronization of these networks are thoroughly investigated. Several network synchronization criteria are deduced. Especially, the assumptions adopted and decentralized control laws designed are considerably simple. An illustrative example along with the respective numerical and computer simulation results is also given to demonstrate the effectiveness of the proposed synchronization control synthesis.

关键词： Complex networks Network synthesis Large-scale systems Robust control Distributed control Control systems Network topology Robustness Chaos Robust stability

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