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IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)

作者： C. Copot S. Syafiie S. Vargas R. de Keyser L. Van Langenhove C. Lazar Department of Automatic Control and Applied Informatics “Gh. Asachi” Technical University of Iasi Romania Department of Electrical energy Systems and Automation Ghent University Belgium Department of Telecommunication Ghent University Belgium Department of Textile Ghent University Belgium

Nowadays, the carpet quality analysis is determined in industry by human experts, because the automated assessment is not capable of matching the human expertise. Therefore, the carpet company demands a reliable and economic standardization of carpet wear level. This paper presents a new strategy for analyzing and classifying the texture of the wear carpet surface of 3D image, where 3D image is produced by 3D laser scanner. 2D image is obtained from 3D data resample on different grid sizes. The features extracted are based on Haralick descriptors of co-occurrence matrix. These features are used as inputs to a classifier system, which is based on support vector machine (SVM). Multi-class classification training based on SVM is applied. The performance of the new technique proposed gives an average of over 92% correct labeling.

关键词： Support vector machines Support vector machine classification Pattern recognition Humans Standardization Image analysis Image texture analysis Surface texture Surface emitting lasers Feature extraction

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Semi-supervised Drug-Protein Interaction Prediction from Heterogeneous Spaces

Semi-supervised Drug-Protein Interaction Prediction from Het...

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第三届最优化与系统生物学国际研讨会

作者： Zheng Xia Xiaobo Zhou Youxian Sun Ling-Yun Wu State Key Lab of Industrial Control Technology Zhejiang University Center for Biotechnology & Informatics and Department of Radiology The Methodist Hospital Reseach InstituteWeill Medical CollegeCornell UniversityHoustonTX 77030USA Institute of Applied Mathematics Academy of Mathematics and Systems ScienceChinese Academy of Sciences

Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug *** difficulty of this prediction task lies in the rarity of known drug-protein interaction while myriad unknown interactions to be *** meet this challenge,a manifold regularization semi-supervised learning method is presented to tackle this issue by using labeled and unlabeled information which often gives better results than using the labeled data ***,our semi-supervised learning method integrates known drug-protein interaction network information as well as chemical structure and genomic sequence *** report encouraging results of our method on drug-protein interaction network reconstruction which may shed light on the molecular interaction inference and new uses of marketed drugs.

关键词： Drug-Protein Interaction Network Semi-supervised Learning Kernel Methods Normalized Laplacian

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Pole placement approaches for linear and fuzzy systems

Pole placement approaches for linear and fuzzy systems

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6th International Symposium on Intelligent systems and informatics, SISY 2008

作者： Preitl, S. Precup, R.-E. Clep, P.A. Ursache, I.-B. Fodor, J. Škrjanc, I. Dept. of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania Institute of Intelligent Engineering Systems Budapest Tech. Polytechnical Institution Budapest Hungary Laboratory of Modelling Simulation and Control University of Ljubljana Ljubljana Slovenia

The paper investigates several pole placement methods in the linear case and suggests a new pole placement method by means of fuzzy linear equations. The linear methods concern the constant real part poles, the poles places on a circle, Butterworth configurations without and with the correction of the imaginary part, the pole-zero cancellation, and the poles placed on an ellipse. Low order systems are considered. The pole placement methods are compared by the digital simulation of control systems' behaviors with respect to the modification of the reference input. The conclusions are useful for continuous control systems, and they can be extended easily to digital control systems including quasi-continuous ones. ©2008 IEEE.

关键词： Poles

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Pole placement approaches for linear and fuzzy systems

Pole placement approaches for linear and fuzzy systems

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International Symposium on Intelligent systems and informatics (SISY)

作者： S. Preitl R.-E. Precup P. A. Clep I.-B. Ursache J. Fodor I. Skrjanc Department of Automation and Applied Informatics Polytechnic슠University of Timisoara Timisoara Romania Institute of Intelligent Engineering Systems Budapest Tech Polytechnical Institution Budapest Hungary Laboratory of Modelling Simulation and Control University of Ljubljana Ljubljana Slovenia

The paper investigates several pole placement methods in the linear case and suggests a new pole placement method by means of fuzzy linear equations. The linear methods concern the constant real part poles, the poles places on a circle, Butterworth configurations without and with the correction of the imaginary part, the pole-zero cancellation, and the poles placed on an ellipse. Low order systems are considered. The pole placement methods are compared by the digital simulation of control systemspsila behaviors with respect to the modification of the reference input. The conclusions are useful for continuous control systems, and they can be extended easily to digital control systems including quasi-continuous ones.

关键词： State feedback Fuzzy systems control systems Equations Poles and zeros control system synthesis Stability Digital control Nonlinear control systems Automation

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Trends in Theory of control System Design Status report prepared by the IFAC Coordinating Committee on Design Methods

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IFAC Proceedings Volumes 2008年第2期41卷 2144-2155页

作者： Ruth Bars Patrizio Colaneri Luc Dugard Frank Allgöwer Anatolii Kleimenov Carsten Scherer Budapest University of Technology and Economics Dept. of Automation and Applied Informatics Hungary Politecnico di Milano Dipartimento di Elettronica e Informazione Italy GIPSA-lab CNRS INP Grenoble France Institute of Systems Theory University of Stuttgart Germany Ural Branch of Russian Academy of Sciences Ekaterinburg Russia Delft Center for Systems and Control Delft University of Technology The Netherlands

control theory deals with disciplines and methods leading to an automatic decision process in order to improve the performance of a control system. The evolution of control engineering is closely related to the evolution of the technology of sensors and actuators, and to the theoretical controller design methods and numerical techniques to be applied in real time computing. New control disciplines, new development in the technologies will fertilize quite new control application fields. Based on the contributions of the Technical Committees within CC2 the status report gives an overview of the current key problems in control theory and design, evaluates the recent major accomplishments and forecasts some new areas. It points out some control fields, which could be challenges for future research.

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control SYSTEM DESIGN CONSIDERING A TRADEOFF BETWEEN EVALUATED UNCERTAINTY RANGES AND control PERFORMANCE

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Asian Journal of control 2008年第1期1卷

作者： Y. Wakasa Y. Yamamoto Dept. of Applied Analysis and Complex Dynamical Systems Graduate School of Informatics Kyoto University Kyoto Japan. Yuji Wakasa was born in Okayama Japan in 1968. He received the B.S. and M.S. degrees in engineering from Kyoto university Japan in 1992 and 1994 respectively. From 1994 to 1998 he was a Research Associate in the Department of Information Technology Okayama University. Since April 1998 he has been a Research Associate in the Graduate School of Informatics Kyoto University. His current research interests include robust control and control system design via mathematical programming. Yutaka Yamamoto received his B.S. and M.S. degrees in engineering from Kyoto University Kyoto Japan in 1972 and 1974 respectively and the M.S. and Ph.D. degree in mathematics from the University of Florida in 1976 and 1978 respectively. From 1978 to 1987 he was with Department of Applied Mathematics and Physics Kyoto University and from 1987 to 1997 with Department of Applied System Science. Since 1998 he is a professor at the current position. His current research interests include realization and robust control of distributed parameter systems learning control sampled-data systems and digital signal processing. Dr. Yamamoto is a receipient of the Sawaragi memorial paper award (1985) the Outstanding Paper Award of SICE (1987) Best Author Award of SICE (1990) the George Axelby Outstanding Paper Award of IEEE CSS in 1996 Takeda Paper Prize of SICE in 1997. He is a Fellow of IEEE. He was an associate editor of Automatica. He is currently an associate editor of IEEE Transactions on Automatic Control Systems and Control Letters and Mathematics of Control Signals and Systems. He is a member of the IEEE the Society of Instrument and Control Engineers (SICE) and the Institute of Systems Control and Information Engineers.

This paper presents a design method of control systems such that a designer can flexibly take account of tradeoffs between evaluated uncertainty ranges and the level of control performance. The problem is reduced to a BMI problem and approximately solved by LMIs. The convergence of the proposed approximation is proved in a modified sense. A numerical example shows the effectiveness of the proposed method in comparison with the standard robust control.

关键词： control system design LMI BMI tradeoff curves

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Algorithm for Fuzzy Relation Identification

Algorithm for Fuzzy Relation Identification

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IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

作者： A. Bara Faculty of Electrical Engineering and Informatics Department of Control Systems and Applied Informatics University of Oradea Romania

Fuzzy model identification of a system can be performed either by subjective or objective methods. Subjective methods assume the describing of system operation in statements of type If...Then... and their summarization in a fuzzy relation. The objective methods are performed in an experimental approach. The second class is a common one and assumes fuzzy model identification without an expert. This presumes an estimation algorithm for the fuzzy relation of a system based on an input-output data set. The paper presents an approach for identification of fuzzy relation based on square prediction error minimization and the results achieved through simulation on the Box-Jenkins data set

关键词： Fuzzy sets Fuzzy systems Equations informatics Mathematical model Fuzzy control control systems Predictive models Humans Shape

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Preliminary results of deterministic chaos control through complexity measures

Preliminary results of deterministic chaos control through c...

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20th European Conference on Modelling and Simulation: Modelling Methodologies and Simulation Key Technologies in Academia and Industry, ECMS 2006

作者： Navratil, Eduard Zelinka, Ivan Senkerik, Roman Department of Applied Informatics Faculty of Applied Informatics Tomas Bata University Nad Stranemi 4511 Zlin 76005 Czech Republic Department of Information Flow in Complex Systems and their Control Tomas Bata University Nad Stranemi 4511 Zlin 76005 Czech Republic Department of Artificial Intelligence Theory of Information Tomas Bata University Nad Stranemi 4511 Zlin 762 72 Czech Republic

ISBN: (纸本)0955301807

This contribution deals with the application of complexity measures as alternative cost functions for the control of a spatiotemporal deterministic chaos represented by coupled map lattices. Mean mutual information and mean information gain is applied, along with a common 1-norm based cost function. Optimization is done through the self-organizing migrating algorithm. Aim of this study is to see whether the specific properties of the above measures can be exploited in spatiotemporal deterministic chaos control. © ECMS, 2006.

关键词： Chaos control

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ROBUST STABILITY CHECKING OF A CLASS OF LINEAR INTERVAL FRACTIONAL ORDER SYSTEM USING LYAPUNOV INEQUALITY

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IFAC Proceedings Volumes 2006年第11期39卷 89-94页

作者： Hyosung Ahn YangQuan Chen Igor Podlubny Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University Logan UT 84322-4160 USA Department of Applied Informatics and Process Control Technical University of Kosice B. Nemcovej 3 04200 Kosice Slovak Republic

This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.

关键词： Fractional order linear dynamic systems robust stability interval linear time invariant systems interval matrix

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STABILIZATION OF CHAOS WITH FPIC: APPLICATION TO ZAD-STRATEGY BUCK CONVERTERS

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IFAC Proceedings Volumes 2005年第1期38卷 1183-1188页

作者： Fabiola Angulo Enric Fossas Carlos Ocampo Gerard Olivar Department of Electrical Electronic and Computer Science Universidad Nacional de Colombia. Cra. 27 No. 64-60 Manizales Colombia Institute of Industrial and Control Engineering Technical University of Catalonia Avda. Diagonal 647 pl 11 08027 Barcelona Spain Department of Systems Engineering Automatics and Industrial Informatics (ESAII) Technical University of Catalonia Rambla Sant Nebridi 10 planta 1 Ed TR-11 08222 Terrasa Spain Department of Applied Mathematics 4 Technical University of Catalonia Avda. Vctor Balaguer s/n E-08800 Vilanova i la Geltru Spain

In this paper a new design for controlling dynamical systems has been applied to buck converters driven with a PWM centered pulse and (Zero Average Dynamics) ZAD-strategy. Chaotic operation has been stabilized with the so-called Fixed Point Induced control (FPIC) technique. Also, the same converter with delay whose 1-periodic orbit is always unstable, has been stabilized. Simulations are compared with the TDAS stabilization technique. Once a 1-periodic orbit has been stabilized, the dynamics shows the same characteristics and advantages of the ZAD design, such as robustness, fixed switching frequency (with zero average on the sliding surface) and a low output error.

关键词： Chaos control Theory Converters Nonlinear control Stabilization methods

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