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International Workshop on Soft Computing Applications (SOFA)

作者： Alina Mădălina Lonea Daniela Elena Popescu Faculty of Automation and Computers Polytechnic University of Timisoara Timisoara Romania Computer Engineering Department Faculty of Electrical Engineering and Information Technology University of Oradea Oradea Romania

Grid is a hardware and software infrastructure which allows the sharing of flexible, secure and coordinated resources among dynamic collections of individuals, organizations and resources. The resources that are utilized in a Grid network are complex. There could be computing resources (PDA, PCs, workstations, servers, and clusters), storage resources (hard-disks, memory), Input-Output resources (sensors, networks, printers) or logical resources (users, timers etc) [1]. With the evolution of Grid systems and with the high capacity data transfer, will occur security issues. This topic is known in the Grid field as some of the necessary element to ensure the safeguard of the resources. Networks are recognized as a critical infrastructure which grew over the years and which continues to grow, because of the increasing dependence on computer systems. The first step in addressing this infrastructure is to understand it. After that, a good analyze should be done in order to avoid the attacks that could occur and to maintain a reliable network [2].

关键词： Cryptography Monitoring

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Big bang - big crunch learning method for fuzzy cognitive maps

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World Academy of Science, engineering and technology 2010年 71卷 815-824页

作者： Yesil, Engin Urbas, Leon Institute of Automation Dresden University of Technology D-01062 Dresden Germany Faculty of Electrical and Electronics Engineering Control Engineering Department Istanbul Technical University Maslak TR-34469 Istanbul Turkey

Modeling of complex dynamic systems, which are very complicated to establish mathematical models, requires new and modern methodologies that will exploit the existing expert knowledge, human experience and historical data. Fuzzy cognitive maps are very suitable, simple, and powerful tools for simulation and analysis of these kinds of dynamic systems. However, human experts are subjective and can handle only relatively simple fuzzy cognitive maps;therefore, there is a need of developing new approaches for an automated generation of fuzzy cognitive maps using historical data. In this study, a new learning algorithm, which is called Big Bang-Big Crunch, is proposed for the first time in literature for an automated generation of fuzzy cognitive maps from data. Two real-world examples;namely a process control system and radiation therapy process, and one synthetic model are used to emphasize the effectiveness and usefulness of the proposed methodology.

关键词： Fuzzy Cognitive Maps

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Big Bang - Big Crunch learning method for fuzzy cognitive maps

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World Academy of Science, engineering and technology 2010年 47卷 816-825页

关键词： Fuzzy Cognitive Maps

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Robust stabilization of interval plants using Kronecker summation method

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WSEAS Transactions on Systems 2010年第9期9卷 917-926页

作者： Matušů, Radek Prokop, Roman Matejičková, Katarína Bakošová, Monika Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stráněmi 4511 76005 Zlín Czech Republic Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 81237 Bratislava Slovakia

This paper deals with design of continuous-time robustly stabilizing Proportional-Integral (PI) controllers for interval systems using the combination of Kronecker summation method, sixteen plant theorem and an algebraic approach to controller tuning. The effectiveness and practical applicability of the proposed method is demonstrated in both simulation and real experiments including control of a third order nonlinear electronic plant.

关键词： Continuous time systems

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Reactive power optimization and voltage control using an improved genetic algorithm

Reactive power optimization and voltage control using an imp...

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International Conference on Power System technology (POWERCON)

作者： S. C. Liu J. H. Zhang Z. Q. Liu H. Q. Wang College of Electrical and Electronic Engineering North China Electric Power University Beijing China Department of Control Science and Engineering Faculty of Information Technology University of Zhejiang Hangzhou Zhejiang China

This paper presents an improved dynamic genetic algorithm (IDGA) for reactive power optimization and voltage control. The problem is formulated as a mixed integer, nonlinear optimization problems considering both continuous and discrete control variables. The objective of optimization is minimizing active power losses while maintaining the quality of voltages. During evolution process, the crucial parameters, including mutation and crossover rate, are adjusted dynamically in order to get the optimal global solution. The IEEE standards 14 and 30 bus systems were used as test systems to demonstrate the applicability and efficiency of the proposed method. The results, compared with classical genetic algorithm and previous approaches reported in the literature, show that IDGA could find high-quality solutions with more reliability and efficiency.

关键词： Gallium Capacitors Biological information theory Robustness Nickel

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Accurate micromanipulation induced by performing in unstable dynamics

Accurate micromanipulation induced by performing in unstable...

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19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010

作者： Su, Eileen Lee Ming Ganesh, Gowrishankar Yeong, Che Fai Burdet, Etienne Department of Bioengineering Imperial College London South Kensington Campus London SW7 2AZ United Kingdom Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Biological ICT Group National Institute of Communication and Information Technology Japan Department of Motor Control and Rehabilitation ATR International Computational Neuroscience Laboratories Kyoto Japan

ISBN: (纸本)9781424479917

This study examines effects of learning 3D micromanipulation in an unstable dynamic environment. A test group trained in an unstable divergent force field while a control group trained the movement in the null force field. The subjects in the test group increased the success rate, in contrast to the control group which had similar rate after training. The error and its standard deviation decreased in the test group but not in the control group. In summary, training in unstable dynamics enable subjects to become more accurate, in contrast to training using only visual feedback. © 2010 IEEE.

关键词： Visual communication

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Position feedback tracking of the Acrobot walking-like trajectory based on the reduced velocity observer

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IFAC Proceedings Volumes 2010年第14期43卷 1011-1016页

作者： Milan Anderle Sergej Čelikovský Czech Technical University in Prague Faculty of Electrical Engineering Department of Control Engineering Technická 2 166 27 Prague Czech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod Vodárenskou věží 4 182 08 Prague Czech Republic Tel: 00420-26605-2018

This paper provides the algorithm how to exponentially track any trajectory of the Acrobot based on the knowledge of two position variables only. Namely, it aims to design a special reduced observer for the Acrobot angular velocities based on the respective angles measurements and then to combine this observer with the earlier developed full state feedback controllers. For the Acrobot with point feet it is not an easy task to measure the angle between its stance leg and the surface. This paper suggests to measure instead of this angle a certain distance using a laser beam sensor and then to compute the stance angle from that distance. For this purpose, the optical laser distance sensor was selected, purchased and analyzed. Remarkably, the corresponding computations maintain basically the same order of precision for the computed angle as achieved for that measured distance. The stability of both the reduced observer and the overall output feedback tracking is demonstrated as well. Both of them are based on the Acrobot's model partial exact feedback linearization of order 3. The developed algorithm is then applied to the position feedback tracking of the walking-like trajectory of the Acrobot during a swing phase of a single step. Besides the theoretical analysis, the approach is demonstrated via numerical simulations.

关键词： Reduced observer underactuated mechanical systems walking robots

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SECURITY ANALISYS OF ANTI-SYNCHRONIZATION CHAOS SHIFT KEYING METHOD VIA POWER AND RETURN MAP ANALYSES

SECURITY ANALISYS OF ANTI-SYNCHRONIZATION CHAOS SHIFT KEYING...

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The Third International Conference on Dynamics, Vibration and control

作者： Sergej Celikovsky Volodymyr Lynnyk Institute of Information Theory and Automation Academy of Sciences of the Czech RepublicP.O.Box 18182 08 Prague 8Czech Republic Department of Control Engineering Faculty of Electrical EngineeringCzech Technical University in PragueCzech Republic

＜正＞During the last two decades,many chaotic communication schemes based on chaotic dynamics has been *** well-known features of the chaotic systems like strong dependence on the initial data,topological transitivity,wide spread spectrum of its signal,etc..directly suggest the idea to use suitable chaos generators to build a new generation of secure encryption *** use of the continuous time chaotic systems for encryption of digital data and both its practical aspects and security analysis have been studied much less *** to prevalently used chaotic *** of the possible exceptions is the so-called chaos shift keying（CSK）method,which uses time segments of chaotic signals corresponding to two different chaotic systems to encrypt a single ***,the CSK was introduced（under different name）for analogue implementation of the Lorenz system and its synchronized ***,the length of the time segment was not such an *** using computer digital implementation,such a method is becoming almost ridiculous due to huge amount of data to encrypt a single *** excessive length of the pieces of signals corresponding to"0"and"1"also enables various statistically based attacks,*** correlation analysis. *** classical CSK method leads to weak and slow *** first attempt to overcome the above drawbacks,was the so-called anti-synchronization chaos shift keying（ACSK）method proposed in,"Anti-synchronization"basically means *** then detecting the correct bit via synchronizing one of two unsynchronized slaves,the wrong bit is determined via de-synchronizing one of the perfectly synchronized *** was proposed the improvement of the receiver of the original ACSK scheme based on the error derivative *** *** to anti-synchronization detection of the wrong bit based on the second error derivative evaluation,the above characteristic has been further reduced up

关键词： Nonlinear system chaos shift keying generalized Lorenz system synchronization anti-synchronization secure communication return map power analysis

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SECURITY ANALISYS OF ANTI-SYNCHRONIZATION CHAOS SHIFT KEYING METHOD VIA POWER AND RETURN MAP ANALYSES

SECURITY ANALISYS OF ANTI-SYNCHRONIZATION CHAOS SHIFT KEYING...

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The Third International Conference on Dynamics,Vibration and control(第三届国际动力学、运动与控制学术会议)

作者： Sergej (C)elikovsk(y) Volodymyr Lynnyk Department of Control Engineering Faculty of Electrical EngineeringCzech Technical University in PragueCzech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech RepublicP.O.Box 18182 08 Prague 8Czech Republic

During the last two decades, many chaotic communication schemes based on chaotic dynamics has been *** well-known features of the chaotic systems like strong dependence on the initial *** transitivity, wide spread spectrum of its signal, etc., directly suggest the idea to use suitable chaos generators to build a new generation of secure encryption ***, the use of the continuous time chaotic systems for encryption of digital data and both its practical aspects and security analysis have been studied much less cf.[1,12,13] due to prevalently used chaotic masking[3,14].

关键词： Nonlinear system chaos shift keying generalized Lorenz system synchronization anti-synchronization secure communication return map power analysis

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An extended PI model for hysteresis and creep compensation in AFM based nanomanipulation

An extended PI model for hysteresis and creep compensation i...

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IEEE International Conference on Robotics and Biomimetics

作者： Zhiyu Wang Lianqing Liu Zhidong Wang Zaili Dong Shuai Yuan Faculty of Electrical and Control Engineering Liaoning Technical University Huludao China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China Chinese Academy and Sciences Beijing China Department of Advanced Robotics Chiba Institute of Technology Chiba Japan Chinese Academy of Sciences Beijing Beijing CN

ISBN: (纸本)9781424493197

One of the prerequisites for AFM based nanomanipulation is that the tip position can be controlled accurately, while this prerequisite is still hindered by the large model uncertainties aroused from PZT nonlinearity such as hysteresis and creep. In this paper, an Extended Prandtl-Ishlinskii (EPI) model is proposed to solve these problems. The main advantage of EPI model over conventional PI model is that the EPI model can compensate the positioning error caused by hysteresis and creep simultaneously through adopting the new adaptive basic operator. The experimental results demonstrate the effectiveness and validity of EPI model in depicting the PZT hysteresis and creep prosperities.

关键词： Creep Hysteresis Fitting Data models Adaptation model Robot sensing systems

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