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作者： Precup, Radu-Emil Tomescu, Marius-Lucian Preitl, Stefan Petriu, Emil M. Dragoş, Claudia-Adina Department of Automation and Applied Informatics Politehnica University of Timisoara Bd. V. Parvan 2 RO-300223 Timisoara Romania Computer Science Faculty Aurel Vlaicu University of Arad Complex Universitar M Str. Elena Dragoi 2 RO-310330 Arad Romania School of Information Technology and Engineering University of Ottawa 800 King Edward Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9783902661937

This paper suggests a new stability analysis theorem dedicated to a class of fuzzy logic control systems. The fuzzy logic control systems consist of nonlinear Single Input-Single Output (SISO) discrete-time processes controlled by Takagi-Sugeno fuzzy logic controllers. The stability analysis is conducted on the basis of Lyapunov's direct method with quadratic Lyapunov function candidates. The theorem proves that if the derivative of the Lyapunov function candidate is negative definite in the active region of each fuzzy rule then the fuzzy logic control system will be asymptotically stable in the sense of Lyapunov. Sufficient stability conditions are offered. An example related to the design of a stable fuzzy logic control system for the discrete-time Lorenz chaotic system and simulation results are included. © 2011 IFAC.

关键词： Lyapunov functions

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Stereo Matching for Face Images Based on Feature Points

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电子学报(英文版) 2010年第2期19卷 241-244页

作者： WANG Yinghui XIAO Bing WANG Qiongfang Faculty of Computer Science and Engineering Xi'an University of Technology Xi'an China Department of Computer Science Shaanxi Normal University Xi'an China Faculty of of Automation and Information Engineering Xi'an University of Technology Xi'an China

Stereo matching is the key of reconstructing 3D face model from 2D face images and Barnard's algorithm is one of the classical stereo matching algorithms based on feature points. In order to enhance the stability of extracting feature points, reduce computational complexity and minimize the effect of subjective factors, in this paper, Barnard's algorithm of edge point matching was improved from two aspects: edge point sets of left and right face images were extracted with dyadic wavelet transform, rather than comparing gray values of adjacent pixels;on the other hand, edge points in binocular stereo face images were matched under epipolar constraint in parallel binocular stereo matching. Experimental results demonstrate that stability and efficiency of stereo matching algorithm are both improved.

关键词：立体匹配算法人脸图像特征点点匹配算法配基二进小波变换计算复杂度人脸模型

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Determining liquid properties by extraordinary acoustic transmission through phononic crystals

Determining liquid properties by extraordinary acoustic tran...

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IEEE SENSORS

作者： R. Lucklum M. Zubtsov M. Ke A. Oseev U. Hempel B. Henning Institute of Micro and Sensor Systems (IMOS) Tto-von-Guericke-University Magdeburg Germany Department of Physics Wuhan University of China Wuhan China Institute of Automation and Communication (ifak) Magdeburg Germany Faculty of Electrical Engineering Computer Science and Mathematics University of Paderborn Paderborn Germany

ISBN: (纸本)9781424492909

This contribution shows how a resonance-induced extraordinary acoustic transmission through a phononic crystal structure can be used as sensor for liquid properties. The phononic crystal consists of a metal plate with a periodic array of holes. Ultrasound propagates in a way that the incidence direction of sound is perpendicular to the plate. A characteristic transmission peak has been found to strongly depend on liquid sound velocity. The respective peak maximum frequency serves as measure for liquid composition. Numerical calculations based on FDTD and FEA reveal more insides to the propagation characteristics, in particular the presence of specific plate modes. Experimental investigations using a laser vibrometer and the Schlieren method support the theoretical findings.

关键词： Acoustics Photonic crystals Frequency measurement Laser beams Crystals Time domain analysis Lattices

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An Intelligent Decision Support Tool for a Travelling Wave Ultrasonic Motor Based on k-Nearest Neighbor Algorithm

An Intelligent Decision Support Tool for a Travelling Wave U...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Seref Sagiroglu H. Tolga Kahraman Mehmet Yesilbudak Ilhami Colak Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Computer Engineering Faculty of Engineering Gazi University Ankara Turkey Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Software Engineering Faculty of Technology Karadeniz Technical University Trabzon Turkey Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Electronics and Automation Vocational College of Haci Bektas Veli Nevsehir University Nevsehir Turkey Gazi Electrical Machines and Energy Control (GEMEC) Group Department of Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey

Driving frequency, amplitude and phase difference of two-phase sinusoidal voltages are the input parameters which have influence on speed stability of travelling wave ultrasonic motors (TWUSMs).These parameters are also time-varying due to the variations in operating temperature. In addition, a complete mathematical model of the TWUSM has not been derived yet. Owing to these reasons, a machine learning approach is required for determining the compatibility of operating parameters related to speed stability of TWUSMs. For this purpose, an intelligent decision support tool has been designed for TWUSMs in this study. The input parameters such as driving frequency, amplitude, phase difference of two-phase sinusoidal voltages and operating temperature were evaluated by the k-nearest neighbor algorithm in the decision support tool. The results have shown that the proposed tool provides effective results in the compatibility determination of operating parameters related to speed stability of TWUSMs.

关键词： Acoustics Measurement Classification algorithms Training Stability analysis Thermal stability Algorithm design and analysis

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Fault diagnosis of regulating valve based on power Spectrum 2

Fault diagnosis of regulating valve based on power Spectrum

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2011 2nd ETP/IITA Conference on Telecommunication and Information, TEIN 2011

作者： Wenbing, Wu Shuqun, Yang Yijian, Huang Dept. of Computer Fuzhou Technical College of Foreign Studies Fuzhou Fujian China School of Information Science and Technology Xiamen University Xiamen Fujian China Faculty of Software Fujian normal university Fuzhou Fujian China College of Mechanical Engineering and Automation Huaqiao University Quanzhou Fujian China

ISBN: (纸本)9789881824202

Speed-regulating valve is an important component of a hydraulic system, and it is easy to go wrong. How to diagnose the faults is very important for the maintenance of mechanic system. By means of wavelet packet, this paper first extracts features from the power spectrum of signals in normal and fault state respectively, then the features are input to a LSSVM as parameters to diagnose faults, and the result is satisfactory. ©2011 ETP.

关键词： Failure analysis

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Risk-driven web services selection based on stochastic QoS

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ICIC Express Letters 2011年第7期5卷 2269-2274页

作者： Fu, Xiaodong Yue, Kun Zou, Ping Wang, Feng Yunnan Key Lab of Computer Technology Application Kunming University of Science and Technology No. 68 Wenchan Road 121 Ave. Kunming 650500 China Faculty of Information Engineering and Automation Kunming University of Science and Technology No. 68 Wenchan Road 121 Ave. Kunming 650500 China School of Information Science and Engineering Yunnan University No. 2 Cuihu North Road Kunming 650091 China

Open and dynamic environments lead to the stochastic nature of QoS (Quality of Service). This makes customers be required to select the Web services with minimal risk so that the possibility of the difference between actual QoS performance and the ex- pected is minimized. In this paper, we propose a stochastic QoS-aware services selection approach that is formulated as a stochastic Multiple Attribute Decision Making (MADM) model. In this model, QoS of the candidate services is random variables with known probability distributions. By combining user constraints and probability distributions of QoS, semi-variance is used to evaluate QoS risk of alternatives. Thus, the stochastic MADM problem can be transformed into a deterministic one, which is solved with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Example and simulation results show the effectiveness of our approach for services selection. © 2011.

关键词： Quality of service

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The generic mechatronic transducer model - A unified system modeling approach

The generic mechatronic transducer model - A unified system ...

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5th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2010

作者： Janschek, Klaus Institute of Automation Faculty Electrical and Computer Engineering Technische Universität Dresden Germany

ISBN: (纸本)9783902661760

The current paper presents a unified lumped parameter modeling approach for deriving generic analytical system models of reciprocal electromechanical (mechatronic) transducers for various physical working principles (e.g. electrostatic, piezoelectric, electromagnetic, electrodynamic). Starting from constitutive physical relations representing natural laws, the model hierarchy comprises energy based nonlinear EULER-LAGRANGE behavior models, linearized electromechanical two-port models forming constitutive transducer equations and MIMO transfer function models describing the causality based signal flow behavior to be used for control system design and analysis purposes. It is shown that the models describe in a generic way the unified behavior of reciprocal transducers under different operating conditions, e.g. voltage vs. current control. Moreover the models allow in a straightforward way the generic discussion, i.e. independent from the concrete physical working principle, of important transducer operational concepts such as impedance feedback or self-sensing. © 2010 IFAC.

关键词： Transducers

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A particle swarm and neural network approach for position control of XY Piezo Actuator Stage

A particle swarm and neural network approach for position co...

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19th International Workshop on Robotics in Alpe-Adria-Danube Region, RAAD 2010

作者： Kusić, Dragan Čas, Jure Faculty of Electrical Engineering and Computer Science Institute of Automation University of Maribor Slovenia Faculty of Electrical Engineering and Computer Science Institute of Robotics University of Maribor Slovenia

ISBN: (纸本)9781424468867

This paper describes a position control of 2 degrees of freedom (DOF) XY Piezo Actuator Stage (XY PAS) with Feedforward Neural Network (FNN) and additional Particle Swarm Optimization (PSO) approach, which is used as an improved learning method for optimizing the weights of FNN rather than just the standard technique of back-propagation of errors. XY PAS is fabricated by a photo structuring process from micro-structured photosensitive glass and two piezo actuators (PEAs), which are built-on to meet the request for its precise movement on the working plane with approximate dimensions 60 by 60 micrometres. It is evident from the simulation model of XY PAS, that accurate positional control is an exact piece of work. The FNN is used as adaptive feedforward controller describing the estimated inverse function of XY PAS for each reference position of XY PAS's tip. Due to the optimal control performance of FNN, the PSO is introduced in order to improve the learning method of FNN. A simulation model of the XY PAS and the proposed FNN control algorithm with PSO have been developed in Matlab/Simulink. The obtained results show quick convergence capability and a satisfactory global search. © 2010 IEEE.

关键词： Position control

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A surrogate approach for the global optimization of signal settings and traffic assignment problem

A surrogate approach for the global optimization of signal s...

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International IEEE Conference on Intelligent Transportation Systems

作者： Adacher, Ludovica Cipriani, Ernesto Faculty of Engineering Department of Computer Science and Automation University of Roma Tre Italy Faculty of Engineering Department of Science of Civil Engineering University of Roma Tre Italy

ISBN: (纸本)9781424476572

We extend a 'surrogate problem' approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traffic assignment combined problem. We compare a stochastic method based on the surrogate approach, called Surrogate Method (SM), with a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine. Numerical experiments conducted on a test network show that the surrogate method converges to a really small area and it finds much more efficient solutions. ©2010 IEEE.

关键词： Global optimization

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Evolving granular neural network for semi-supervised data stream classification

Evolving granular neural network for semi-supervised data st...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Leite, Daniel Costa, Pyramo Gomide, Fernando Department of Computer Engineering and Automation Faculty of Electrical and Computer Engineering University of Campinas Sao Paulo Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424469178

In this paper we introduce an adaptive fuzzy neural network framework for classification of data stream using a partially supervised learning algorithm. The framework consists of an evolving granular neural network capable of processing nonstationary data streams using a one-pass incremental algorithm. The granular neural network evolves fuzzy hyperboxes and uses nullnorm based neurons to classify data. The learning algorithm performs structural and parametric adaptation whenever environment changes are reflected in input data. It needs no prior statistical knowledge about data and classes. Computational experiments show that the fuzzy granular neural network is robust against different types of concept drift, and is able to handle unlabeled examples efficiently. © 2010 IEEE.

关键词： Learning algorithms

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