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A new wavelet shrinkage function for signal denoising

Journal of Computational Information Systems 2009年第5期5卷 1511-1522页

作者： Ji, Peng Zhang, Chenghui Wang, Jihong Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China School of Control Science and Engineering Shandong University Jinan Shandong 250061 China School of Electronic Electrical and Computer Engineering University of Birmingham Birmingham B15 2TT United Kingdom

A new exponential shrinkage function is proposed in the paper, which has a flexible structure compared with the shrinkage methods proposed previously. The new shrinkage function solved the problem of function encountered by using a hard shrinkage function and will also alleviate the bias in estimation caused by using a soft shrinkage function. The formulae for calculating the bias, variance and L2 risk of the exponential shrinkage function are derived. The relationships between the bias, variance, L2 risk of the exponential shrinkage function and the threshold values, wavelet coefficients, the base are studied extensively in this paper. Simulation examples are given to demonstrate the application procedure of the new method. It is clearly shown that the proposed exponential shrinkage method gives higher signal noise ratio (SNR) gains and reduces the mean square error (MSE) values in evaluation of the signal denoising performance. Copyright © 2009 Binary Information Press.

关键词： MATLAB

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∞ model reduction for linear parameter-varying systems with distributed delay

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International Journal of control 2009年第3期82卷 408-422页

作者： Ligang Wu Peng Shi Huijun Gao & Junling Wang Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 P. R. China Faculty of Advanced Technology University of Glamorgan Pontypridd CF3 1DL UK Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada College of Nuclear Science and Technology Harbin Engineering University Nantong Street 145 Harbin 150001 China

This paper is concerned with the ∞ model reduction for linear parameter-varying (LPV) systems with both discrete and distributed delays. For a given stable system, our attention is focused on the construction of reduced-order models, which approximate the original system well in an ∞ norm sense. First, a sufficient condition is proposed for the asymptotic stability with an ∞ performance of the error system by using the parameter-dependent Lyapunov functional method. Then, the decoupling technique is applied, such that there does not exist any product term between the Lyapunov matrices and the system matrices in the parametrised linear matrix inequality (PLMI) constraints; thus a new sufficient condition is obtained. Based on the new condition, two different approaches are developed to solve the model reduction problem. One is the convex linearisation approach and the other is the projection approach. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed design method

关键词： Distributed delay model reduction parameterised linear matrix inequality (PLMI) linear parameter-varying (LPV) systems

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Intelligent modified predictive optimal control of reheater steam temperature in a large-scale boiler unit

Intelligent modified predictive optimal control of reheater ...

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IEEE General Meeting Power& Energy Society

作者： Kwang Y. Lee Liangyu Ma Chang-Jin Boo Won-Hee Jung Sung-Ho Kim Department of Electrical and Computer Engineering Baylor University Waco TX USA Automation Department School of Control Science and Engineering North China Electric Power University Baoding Hebei China Department of Electrical Engineering Cheju National University Jelu South Korea Corporate Research and Development Institute Doosan Heavy Industries and Construction Company Limited Taejon South Korea

A modified predictive optimal control (MPOC) scheme based on neural network modeling and particle swarm optimization (PSO) techniques is proposed in this paper for reheater steam temperature (RST) control of a large-scale boiler unit. A recurrent neural network is trained to directly model the temperature dynamic response of the reheater system. The neural network direct model is then used to evaluate the performance of the MPOC in search of the optimal control, where optimization is carried out with the PSO. A simplified PSO algorithm with search direction control is designed to find the nearest and optimal controls for the reheater steam temperature. To further improve the optimal search accuracy, each last-step prediction error between the direct model output and the actual RST is added to the current-step cost function to compensate for the model error. control tests on a full-scope simulator of a large scale power generating unit have shown the validity of the proposed method.

关键词： Optimal control Large-scale systems Boilers Predictive models Neural networks Temperature control Particle swarm optimization Recurrent neural networks Algorithm design and analysis Accuracy

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An environment for modeling communicating reactive systems

An environment for modeling communicating reactive systems

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2008 1st International Conference on Information Technology, IT 2008

作者： Bhattacharjee, A.K. Dhodapkar, S.D. Shyamasundar, R.K. Reactor Control Division Bhabha Atomic Research Centre Mumbai 400 085 India School of Technology and Computer Science Tata Institute of Fundamental Research Mumbai 400 005 India

ISBN: (纸本)9781424422456

In this paper, we describe an environment which can be used to specify and implement distributed reactive system e.g., Globally Asynchronous, Locally Synchronous Systems (GALS). We have extended State-charts called as Communicating Statecharts(CS), with primitives for handling synchronous and asynchronous communication through channels. We also show how to convert the CS specifications into *** which enable us to use code generation and verification capabilities in Esterel suite of tools. © IEEE.

关键词： Esters

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WI'07/IAT'07/BIBM'07/GrC'07 joint keynote: computer science as a lens on the sciences: the example of computational molecular biology

WI'07/IAT'07/BIBM'07/GrC'07 joint keynote: Computer science ...

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IEEE computer Society Technical Committee on Intelligent Informatics(TCII)

作者： Karp, Richard M. University of California Berkeley United States University of California Berkeley International Computer Science Institute Berkeley U.S. National Academies of Sciences and Engineering American Philosophical Society French Academy of Sciences American Academy of Arts and Sciences American Association for the Advancement of Science Association for Computing Machinery Institute for Operations Research and Management Science

ISBN: (纸本)0769530273

This talk will trace the growing influence of fundamental ideas from computer science on the nature of research in a number of scientific fields. There is a growing awareness that information processing lies at the heart of the processes studied in fields as diverse as quantum mechanics, statistical physics, nanotechnology, neuroscience, linguistics, economics and sociology. Increasingly, mathematical models in these fields are expressed in algorithmic languages and describe algorithmic processes. The speaker will briefly describe connections between quantum computing and the foundations of quantum mechanics, and between statistical mechanics and phase transitions in computation. He will indicate how the growth of the Web has created new phenomena to be investigated by sociologists and economists. He will then focus in greater detail on computational molecular biology, where the view of living cells as complex information processing systems has become the dominant paradigm, and will discuss specific algorithmic problems arising in the sequencing of genomes, the comparative analysis of the resulting genomic sequences,the modeling of networks of interacting proteins, and the associations between genetic variation and disease.

关键词： computer science

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Golomb Rulers: A Fitness Landscape Analysis

Golomb Rulers: A Fitness Landscape Analysis

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Congress on Evolutionary Computation

作者： Jorge Tavares Francisco B. Pereira Ernesto Costa Science and Control (INRIA) French National Institute for Research in Computer Science and Control Villeneuve d'Ascq France CISUC Department of Informatics Engineering University of Coimbra Coimbra Portugal Department of Computer Science Instituto Superior de Engenharia de Coimbra (ISEC) Polytechnic Institute of Coimbra Coimbra Portugal

Fitness landscape analysis techniques are used to better understand the influence of genetic representations and associated variation operators when solving a combinatorial optimization problem. Several representations for the optimal Golomb ruler problem are examined. Common mutation operators such as bit-flip mutation are employed to generate fitness landscapes to study the genetic representations. Furthermore, additional experiments are made to observe the effects of adding heuristics and local improvements to the encodings.

关键词： Encoding Distance measurement Evolutionary computation Correlation Genetics Optimization Law

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An environment for modeling communicating reactive systems

An environment for modeling communicating reactive systems

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International Conference on Information Technology (ICIT)

作者： A.K. Bhattacharjee S.D. Dhodapkar R.K. Shyamasundar Reactor Control Division Bhabha Atomic Research Centre Mumbai India School of Technology and Computer Science Tata Institute of Fundamental Research Mumbai India

In this paper, we describe an environment which can be used to specify and implement distributed reactive system e.g., globally asynchronous, locally synchronous systems (GALS). We have extended state-charts called as communicating statecharts(CS), with primitives for handling synchronous and asynchronous communication through channels. We also show how to convert the CS specifications into Esterel which enable us to use code generation and verification capabilities in Esterel suite of tools.

关键词： Kernel Receivers Asynchronous communication Computational modeling Visualization History Inductors

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Result representation of Rao-Blackwellized particle filtering for SLAM

Result representation of Rao-Blackwellized particle filterin...

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International Conference on control, Automation and Systems ( ICCAS)

作者： Nosan Kwak Beom-Hee Lee Kazuhito Yokoi Joint Japanese-French Robotics Laboratory Intelligent Systems Research Institute National Institute for Advanced Industrial Science and Technology Tsukuba Japan School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea

Recently, particle filters have been applying to many robotic problems including the simultaneous localization and mapping (SLAM). Specifically, SLAM approaches employing Rao-Blackwellized particle filter (RBPF) have shown good results. However, no research is conducted to analyze representation of the results of particle filtering. After finishing the particle filtering, the results such as a map and a path are stored in the separate particles. In most cases, the result of the particle that has the highest importance weight is represented as the result. However, this approach does not give the best result all the time. Thus, We provide the analysis of final representation of particle filtering. In this paper, we compares several methods to derive the final representation of the result after finishing RBPF-SLAM. According to the result, combining data of each particle provides the better result with high probability than using just data of a particle such as the highest weighted particle representation.

关键词： Filtering Simultaneous localization and mapping Particle filters Intelligent robots Robotics and automation Service robots Electronic mail Finishing Diversity reception Automatic control

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Stability of Hybrid Impulsive Systems With Time Delays and Stochastic Effects

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IFAC Proceedings Volumes 2008年第2期41卷 5933-5938页

作者： Zhichun Yang Yiguang Hong Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy of Sciences Beijing 100080 China Chongqing Key Lab of Operations Research and System Engineering Department of Mathematics and Computer Science Chongqing Normal University Chongqing 400047 China

In this paper, a class of hybrid impulsive systems with time delays and stochastic effects are considered. We obtain some criteria on the global exponential stability in mean square for the impulsive stochastic delayed systems. To do this, differential inequalities and ℒ-operator inequalities are developed. An example is given to illustrate the effectiveness of our results.

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

No abstract available

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