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5th Conference of the European Society for Fuzzy Logic and technology, EUSFLAT 2007

作者： Khorshidi, Gholamreza Salimi Jaafari, Ayyoub Pourmorteza, Amir Motie, Ali Golpayegani, Mohammadreza Hashemi School of Cognitive Sciences Institute for Studies in Theoretical Physics and Mathematics Tehran Iran Faculty of Biomedical Engineering Amirkabir University of Technology Tehran Iran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Nasrabadi Group of Biomedical Engineering Faculty of Engineering Shahed University Tehran Iran

ISBN: (纸本)9788073683863

Ventricular Late Potentials (VLPs) are lowamplitude, high-frequency components that appear at the end of the QRS complex of a High-Resolution ECG (HRECG) record. VLPs are clinically useful for identifying post-MI (Myocardial Infarction) patients prone to Ventricular Tachycardia (VT) and Sudden Cardiac Death (SCD). In this paper, the Continuous Wavelet Transform (CWT) and a supervised fuzzy clustering algorithm are used together to detect VLP. The terminal part of the QRS complex in the Vector Magnitude (VM) waveform is processed with the CWT to extract a feature vector. Resulting time-frequency representation is subdivided into several sub bands, and the sum of the squared decomposition coefficients is computed in each region. Finally, a supervised Fuzzy clustering method, trained by an appropriate set of these feature vectors, is applied to this data in order to identify VLP.

关键词： Electrocardiograms

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Implementation of autonomous vehicles with the hough transform and fuzzy control

Implementation of autonomous vehicles with the hough transfo...

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SICE Annual Conference

作者： Yu-Kuen Tsai Lin-Yi Jian Pau-Lo Hsu Bor-Chyun Wang Department of Electrical and Control Engineering National Chiao Tung University Taiwan Department of Computer Science and Information Engineering China University of Technology Taiwan

ISBN: (纸本)4907764278

An automatic driving system for a golf car is developed and tested in the campus. The system utilizes a single vision sensor CCD and adopts the road-model-matching method to obtain the lane marks by applying the Hough transform method. Compared with the inverse perspective mapping (IPM) method of which is affected greatly by the position, yaw and tilt angle of the camera [1] with heavy computation, the present method directly detects the lane marks without including information of the camera. Besides, the present method can be applied to detect curved lane marks simply by using a 2nd-order road model. Moreover, in the control for the nonholonomic vehicle, the commonly used PID control is not suitable for the automatic driving system. This paper proposes two different fuzzy logic controllers (FLCs) with nine and fifteen rules, respectively, to achieve the autonomous driving performance satisfactorily.

关键词： Remotely operated vehicles Mobile robots Fuzzy control Automatic control Cameras control systems Automatic testing System testing Sensor systems Charge coupled devices

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Finite Energy Management and Flight control for a System of Airships Systems

Finite Energy Management and Flight Control for a System of ...

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2007 IEEE International Conference on System of Systems engineering (SOSE 2007), vol.2

作者： Michael Frye Chunjiang Qian Control Computation and Cybernetics Laboratory Department of Electrical and Computer Engineering University of Technology San Antonio TX USA

This paper examines the problem of controlling a system of airships that are operating as a temporary mobile cell phone network. The primary requirements are maintaining a formation that is subjected to environmental gust disturbances while holding either a fixed position or attempting to hold a reference velocity. The purpose of having both position and velocity hold modes is to have the performance of an aerostat while maintaining the ability to relocate as required by cell phone load usage. This paper examines the use of a predictive real-time control technique which solves an optimal control problem that takes into account minimum control energy, desired velocity, formation constraints, and control constraints. The control problem is reformulated as a linear programming problem for rapid convergence to a solution. This paper will illustrate the optimal control technique using a simulation on two airships.

关键词： Optimal control Flight control Airship Dynamics Formation control

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H∞ filtering for a class of 2D systems

H∞ filtering for a class of 2D systems

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15th European Signal Processing Conference, EUSIPCO 2007

作者： Wu, Ligang Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Kummert, Anton Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra 65-246 Zielona Góra Poland Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom University of Wuppertal Faculty of Electrical Information and Media Engineering Communication Theory Germany

ISBN: (纸本)9788392134022

The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length. At the end of each pass, the process is reset and the next time through the output, or pass profile, produced on the previous pass acts as a forcing function on, an hence contributes to, the dynamics of the new pass profile. They are hence a class of systems with information propagation in two independent directions where here the dynamics over the finite pass length are described by a matrix linear differential equation and that from pass to pass has a discrete updating structure. This means that filtering/estimation theory/algorithms for, in particular, 2D discrete linear systems is not applicable. In this paper we solve a general filtering problem with a view toward use in the many applications where such action will be required. © 2007 EURASIP.

关键词： Dynamics

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The time-delay effect of multiple-network systems in NCS

The time-delay effect of multiple-network systems in NCS

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SICE Annual Conference

作者： Ching-Wen Cheng Chien-Liang Lai Bor-Chyun Wang Pau-Lo Hsu Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Department of Computer Science and Information Engineering China University of Technology Hukou Taiwan

ISBN: (纸本)4907764278

Applications of the network control system (NCS) improve the efficiency, the flexibility, and the reliability of large-scale systems in modern industries. In the same time, applications of NCS for remote control and monitoring reduce the time and cost of installation, reconfiguration, and maintenance. This study integrates the Ethernet, the control area network (CAN) network, and the wireless 802.11b in the present NCS. The TCP/IP and the CAN protocols are adopted as the communication gateway in a remote control system for an AC 400 W servo motor. The time delay between the application layer of the client and the application layer of the remote control target has been measured and analyzed in this study. Experimental results indicate that different sampling rates and the environments will greatly affect the delayed time. Also, results indicate that the distance will not affect the delay time in wireless communication. However, as the sampling period reduces, the delay time of the network increases dramatically. In the wireless network, the delay time may change suddenly by the environment interferences. Finally, with a serious time delay, a Smith predictor has been successfully applied to control the servo motor from Kaohsiung which is in 300 km away to verify the feasibility of the proposed NCS.

关键词： Delay effects Communication system control control systems Servomechanisms Servomotors Sampling methods Large-scale systems electrical equipment industry Industrial control Remote monitoring

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PIP trust relationship based on RKI

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Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical university (Natural Science Edition) 2007年第3期26卷 412-414页

作者： Li, Xin Liu, Jian-Hui Cheng, Cheng Meng, Xiang-Fu College of Electrical and Control Engineering Liaoning Technical University Fuxin 123000 China Department of Electronics and Information Harbin Engineering University Harbin 150001 China College of Computer Science and Engineering Liaoning Institute of Technology Jinzhou 121001 China

In view of the trust relationship, which is the core problem of PIP network security, with the introduction PKI security mechanism, briefly introduces the concept and basic composition of public key infrastructure (PKI), expounds the basic idea of trust and PKI, analyzes the characteristics of P2P network and the structure of topology and points out the rules which the nodes in different P2P networks play in PKI trust model on the above basis, the article emphasatically discusses three kinds of PKI trust models and the method for controlling the trust relationship PKI trust model is obtained, which is suitable for PIP network, thus providing the basis of security theory for the large-scale application of PIP network.

关键词： P2P PKI Trust relationship

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The Mimo Predictive Pid controller Design

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Asian Journal of control 2008年第4期4卷

作者： M.H. Moradi M.R. Katebi M.A. Johnson Department of Electronic and Electrical Engineering University of Strath-clyde Glasgow GI 1QE UK. Dr. Moradi is a Lecturer in the Department of Electronic and Electrical Engineering University of Bu-Ali Sina in Iran. He obtained the BSc and MSc in 1991 and 1993 from the Sharif University of Technology and Tarbiat Modarres University respectively. Dr. Moradi joined the Bu-Ali Sina University in 1993. In 2002 he obtained his PhD degree from the University of Strath-clyde Glasgow Scotland. His theoretical research interests include predictive PID control advanced classical control generalised predictive control system identification and fault monitoring robust control design computer networks and more recently control through networks. His industrial interests are in the areas of large-scale systems especially power systems and power plant modelling and control supervisory control and process control. Dr. Moradi has published a number of Journal and Conference papers. Dr. Katebi is a senior lecturer in the Department of Electronic and Electrical Engineering University of Strathclyde. His theoretical research interests are currently focused on Non-linear Control and Filtering for Complex Systems Autonomous Control Design System integration and Fault monitoring and Reconfiguration Plant Monitoring through the Internet Discrete Event Simulation Process Optimisation and Robust Control Design. The industrial research interests are in the area of Hot and Rolling for Steel and Aluminium Power Plant Modelling and Control Marine Control Systems Process Control and Wastewater Treatment Control. Dr Katebi is the author/co-author of four books and more than 150 papers and industrial reports. Professor Johnson's academic education began at Coventry University (1969) and continued under the supervision of Professor Greyham Bryant in the field of Control Systems at Imperial College London. He obtained the DIC MSc and PhD from Imperial College leaving for industry in 1978. Subsequent experience was in the

This paper is concerned with the design of Multi-Inputs and Multi-Outputs (MIMO) predictive PID controllers, which have similar performance to that obtainable from model-based predictive controllers. A new PID control structure is defined which incorporates the prediction of future outputs and uses future set point. A method is proposed to calculate the optimal values of the PID gains from generalised predictive control results. A decentralized version of the predictive PID controllers is presented and the stability of the closed loop system is studied. Simulation studies demonstrate the superior performance of the proposed controller compared with a conventional PID controller. The results are also compared with generalised predictive control solutions.

关键词： PID control design predictive PID MIMO controller optimisation

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TRACKING control IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

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Asian Journal of control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

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A Functional-Link-Based Fuzzy Neural Network for Temperature control

A Functional-Link-Based Fuzzy Neural Network for Temperature...

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IEEE Symposium on Foundations of Computational Intelligence, FOCI

作者： Cheng-Hung Chen Chin-Teng Lin Cheng-Jian Lin Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Department of Computer Science and Information Engineering Chao Yang University of Technology Taichung Taiwan

This study presents a functional-link-based fuzzy neural network (FLFNN) structure for temperature control. The proposed FLFNN controller uses functional link neural networks (FLNN) that can generate a nonlinear combination of the input variables as the consequent part of the fuzzy rules. An online learning algorithm, which consists of structure learning and parameter learning, is also presented. The structure learning depends on the entropy measure to determine the number of fuzzy rules. The parameter learning, based on the gradient descent method, can adjust the shape of the membership function and the corresponding weights of the FLNN. Simulation result of temperature control has been given to illustrate the performance and effectiveness of the proposed model

关键词： Fuzzy neural networks Fuzzy control Temperature control Neural networks Input variables Artificial neural networks Mathematical model Entropy Adaptive control Polynomials

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Formal description of an IEC 61499 runtime environment with real-time constraints

Formal description of an IEC 61499 runtime environment with ...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Christoph Sunder Hermann Rofner Valeriy Vyatkin Bernard Favre-Bulle Automation and Control Institute (ACIN) University of Technology Vienna Austria University of Technology Vienna Austria Department of Electrical and Computer Engineering University of Auckland New Zealand

This paper investigates on the introduction of the runtime behavior and real-time constraints into the verification process of IEC 61499 based automation systems. In detail, the event propagation policies as well as the necessary execution time for all actions within the automation system need to be described for a complete model of the automation system. The basis of the formal description provides an analytic methodology for the event propagation policy of an IEC 61499 runtime implementation. By use of this methodology within the formal model of the runtime environment, the overall system behavior can be described also in the case of reactive systems properties.

关键词： IEC standards Runtime environment Automation Automatic control control systems Programmable control electrical equipment industry Manufacturing Logic Industrial control

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