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COMPLEXITY ANALYSIS OF NETWORK-BASED DYNAMICAL SYSTEMS

Journal of Systems science & Complexity 2011年第3期24卷 413-432页

作者： Guofeng ZHANG Long WANG Tongwen CHEN School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China. Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing 100871 China Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta T6G 2V4 Canada

This paper investigates the nonlinear dynamics of network-based dynamical systems where network communication channels of finite data rates are inserted into the closed loops of the control systems. The authors analyze the bifurcation and chaotic behavior of the non-smooth dynamical systems. The authors first prove that for almost all system parameters there are no periodic orbits. This result distinguishes this type of non-smooth dynamical systems from many others exhibiting border-collision bifurcations. Next, the authors show analytically that the chaotic sets are separated from the region containing the line segment of all fixed points with a finite distance. Finally, the authors employ a simple model to highlight that both the number of clients sharing a common network channel and fluctuations in the available network bandwidth have significant influence on the performance of such dynamical systems.

关键词： Bifurcation feedback network-based dynamical system non-convexity periodicity.

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Some Fundamental Relaxation Properties Of Fractional Order Weighted Distributed Parameter Maxwell Model

Some Fundamental Relaxation Properties Of Fractional Order W...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Lili Cao Yan Li Guohui Tian Baodong Liu YangQuan Chen School of Mathematics Shandong University Jinan Shandong 250061 P. R. China School of Control Science and Engineering Shandong University Jinan Shandong 250061 P. R. China Software College Shandong University Jinan Shandong 250061P. R. China Center for Self-Organizing and Intelligent Systems (CSOIS) Electrical and Computer Engineering Department Utah State University Logan UT 84322 USA

In this paper,we derive in time domain the constitutive equation and relevant properties of the fractional order weighted distributed parameter Maxwell *** weight function can be replaced by the Fourier series,which leads to three types of fractional order distributed parameter *** inverse Laplace transformand asymptotic properties

关键词： Some Fundamental Relaxation Properties Of Fractional Order Weighted Distributed Parameter Maxwell Model Fourier

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A Dynamical Systems Model for Improving Gestational Weight Gain Behavioral Interventions

A Dynamical Systems Model for Improving Gestational Weight G...

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American control Conference

作者： Yuwen Dong Daniel E. Rivera Diana M. Thomas Jesus E. Navarro-Barrientos Danielle S. Downs Jennifer S. Savage Linda M. Collins Control Systems Engineering Laboratory (CSEL) School for Engineering of Matter Transport and Energy Arizona State University Tempe AZ USA Department of Mathematical Sciences Montclair State University Montclair NJ USA Society for the Promotion of Applied Computer Science (GFaI) Volmerstr. 3 12489 Berlin Germany Exercise Psychology Laboratory Department of Kinesiology Penn State University University Park PA USA Center for Childhood Obesity Research and the Department of Nutritional Sciences Penn State University University Park PA USA The Methodology Center and Department of Human Development and Family Studies Penn State University University Park PA USA

ISBN: (纸本)9781457710957

Excessive gestational weight gain (GWG) represents a major public health concern. In this paper, we present a dynamical systems model that describes how a behavioral intervention can influence weight gain during pregnancy. The model relies on the integration of a mechanistic energy balance with a dynamical behavioral model. The behavioral model incorporates some well-accepted concepts from psychology: the Theory of Planned Behavior (TPB) and the principle of self-regulation which describes how internal processes within the individual can serve to reinforce the positive outcomes of an intervention. A hypothetical case study is presented to illustrate the basic workings of the model and demonstrate how the proper design of the intervention can counteract natural trends towards declines in healthy eating and reduced physical activity during the course of pregnancy. The model can be used by behavioral scientists to evaluate decision rules for adaptive time-varying behavioral interventions, or as the open-loop model for hybrid model predictive control algorithms acting as decision frameworks for such interventions.

关键词： Adaptation models Educational institutions Mathematical model Predictive models Pregnancy Guidelines USA Councils

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Satellite image retrieval application using Locality Sensitive Hashing in L2-space

Satellite image retrieval application using Locality Sensiti...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Buaba, Ruben Homaifar, Abdollah Gebril, Mohamed Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

This paper demonstrates the use of the Locality Sensitive Hashing technique operating in Euclidean metric space to build a data structure for Defense Meteorological Satellite Program (DMSP) satellite imagery database. Due to the high dimensionality of these images, their texture feature vectors are used. These features are extracted using pyramidal wavelet decomposition coupled with Gaussian central moments. Families of hash functions are drawn randomly and independently from a Gaussian distribution to create hash tables for these texture feature vectors of the images. The hash tables and the families of hash functions are then used to find similar satellite image matches to any query image in sublinear search time. When tested, our algorithm has proven to be about thirty three times faster than the linear search algorithm. In addition, our algorithm searches less than two percent of the entire database on the average to find the possible similar image matches to any given query without loss of accuracy. © 2011 IEEE.

关键词： Hash functions

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Structural indexing of satellite images using automatic classification

Structural indexing of satellite images using automatic clas...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Gebril, Mohamed Buaba, Ruben Homaifar, Abdollah Kihn, Eric Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agricultural and Technical State University Greensboro NC 27411 United States NOAA/NGDC 325 Broadway Boulder CO 80305 United States

ISBN: (纸本)9781424473502

Shape descriptors have been used frequently as features to characterize an image for classification and image retrieval tasks. The problem of recognizing classes of objects in images is important for annotation and indexing of Satellite image databases. In this paper, a comparison between shape and texture features for classification is presented. The classification is based on Support Vector Machine (SVM) learning. SVM classifier can be learned from training data of relevance images and irrelevance images marked by users. Using the classifier, the system can retrieve more images relevant to the query in the database efficiently. The goal is to build an accurate and fast query-by-example using content based image retrieval based on the information extracted from satellite image data. We have investigated and described various feature extraction methods relevant to our work in this paper. The experimental results demonstrate that using the shape features give a better classification accuracy than that of the texture features. © 2011 IEEE.

关键词： Image classification

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Advanced control technique application in U-tube steam generator of nuclear power station

Advanced control technique application in U-tube steam gener...

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2011 International Conference on computer engineering and Systems, ICCES'2011

作者： Mousa, Hamdi M. El-Araby, Sayed M. Koutb, Magdy A. Ali, Elsayed H. M. Menoufia University Faculty of Computers and Information Department of Computer Science Shbien Elkoom Egypt Egyptian Atomic Energy Authority Nuclear Research Center Department of Engineering and Scientific Instruments Cairo Egypt Menoufia University Faculty of Electronic Engineering Department of Industrial Electronics and Control Menouf Egypt

ISBN: (纸本)9781457701283

A water level control system for a nuclear steam generator (SG) is proposed. A method to improve the performance of nuclear steam generator in nuclear power station is introduced. Combination of genetic algorithm (GA) technique and fuzzy logic control is carried out. The optimal parameters of fuzzy logic controller are achieved. These parameters include;the membership functions of water level error and changes water level error, the rule base, and the input scaling gains. Steam generator model is implemented using MATLAB/SIMULINK. The optimal controller was applied to control the water level of nuclear SG and it's compared with conventional controller. Simulation results indicate that the optimal fuzzy controller greatly improves the performance of nuclear SG. Moreover the proposed controller is robust to any disturbance related to sudden changes in steam flow rate and water level. Moreover the proposed controller is robust to any disturbance related to load variations. © 2011 IEEE.

关键词： Water levels

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Intelligent control of human prosthetic eye movements system for the emotional support by a huggable pet-type robot via Gaussian RBF neural network based on sliding mode control

Intelligent Control of human prosthetic eye movements system...

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2011 2nd International Conference on control, Instrumentation and Automation, ICCIA 2011

作者： Farivar, Faezeh Kandroodi, Mojtaba Rostami Shoorehdeli, Mahdi Aliyari Department of Mechatronics Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467316903

In this study, intelligent control of human eye movements system for the emotional support by a huggable pet type robot via Gaussian RBF neural network based on sliding mode control is presented. Despite active research and significant progress in the last three decades on control of human eye movements, it remains challenging issue due to its applications in prosthetic eyes and robotics. The geometry and model of human eye movements system are investigated and this system is considered as a nonlinear control system. The specified model may only be an academic exercise. It can have scientific importance in understanding of the human movement system in general. Also, it can be useful for robotics. By using Gaussian RBF Neural Networks Based on Sliding Mode control, the control goal can be achieved. The adaptation laws of designed controllers are obtained based on sliding mode control methodology without calculating the Jacobian of the system. The proposed method is capable to control of human eye movements system. Intelligent methods such as artificial neural networks are proposed to control the human eye movements and numerical simulations are presented. It is concluded that the intelligent controls applied to control of human eye movements system are emulated from the neural controls in biological system. © 2011 IEEE.

关键词： Sliding mode control

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ORF-MOSAIC for adaptive control of a biomimetic arm

ORF-MOSAIC for adaptive control of a biomimetic arm

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2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Ardakani, M. Mahdi Ghazaei Jörntell, Henrik Johansson, Rolf Department of Computer Science Faculty of Engineering Lund University 221 00 Lund Sweden Department of Experimental Medical Sciences Lund University Biomedical Center F10 221 84 Lund Sweden Department of Automatic Control Faculty of Engineering Lund University 221 00 Lund Sweden

ISBN: (纸本)9781457721373

This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Organized by Receptive Fields MOdular Selection And Identification for control). The arm features a musculoskeletal model which is controlled through muscle activations by means of optimization techniques. With as few as 16 modules, we were able to control the arm in a workspace of 30 x 30 cm. The system was able to adapt to an external field as well as handling new objects despite delays. The discussion section suggests that there are similarities between the microzones in the cerebellum and the modules of this new model. © 2011 IEEE.

关键词： Biomimetics

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Detecting environmental change using Self-Organizing Map techniques applied to the ERA-40 database

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Data science Journal 2011年 10卷 1-12页

作者： Gebril, Mohamed Kihn, Eric Said, Eyad Haj Homaifar, Abdollah Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina A and T State University Greensboro NC 27411 United States University of Kalamoom Deratiah Syria

Data mining is a valuable tool in meteorological applications. Properly selected data mining techniques enable researchers to process and analyze massive amounts of data collected by satellites and other instruments. Large spatial-temporal datasets can be analyzed using different linear and nonlinear methods. The Self-Organizing Map (SOM) is a promising tool for clustering and visualizing high dimensional data and mapping spatial-temporal datasets describing nonlinear phenomena. We present results of the application of the SOM technique in regions of interest within the European re-analysis data set. The possibility of detecting climate change signals through the visualization capability of SOM tools is examined.

关键词： Self organizing maps

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Design, Implementation and Testing of Mobile Phone Application for Pleasant Wake up

Design, Implementation and Testing of Mobile Phone Applicati...

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IEEE International Workshop on Electronic Design, Test and Applications (DELTA)

作者： Ondrej Krejcar Jakub Jirka Department of Measurement and Control Center of Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Poruba Czech Republic Department of Measurement and Control Faculty of Electrical Engineering and Computer Science Technical University of Ostrava Ostrava Poruba Czech Republic

Human life is divided into day periods as a main periods which consist of a day and night phase. Most of humans need to sleep a eight hours in a minimum to have their body and all the body function ready in day phase of a day. The second very important thing (instead of 8 hour sleep) is a phase of sleep in which a human is wake up. Waking up of a human in deep sleep phase lead to a very “unhappy” morning and not so nice spend of day. We are trying to develop algorithms to detect mild sleep stages which are the most suitable to human wake up. Actually we use microphone input to record and process sound near the monitored user. All the knowledge is implemented to mobile phone (windows mobile based device) as an intelligent alarm application. Whole application is designed as multithread Real-Time application based on. NET Compact Framework platform in C# language. Filtration and detection algorithms used special Math library Math. NET to process a recorded sound signal. This paper consists of several chapters which describes design, implementation and testing phases of this mobile application development. Actual testing results shows that our developed application detect correctly more than 70% of mild sleep stages of all tested persons.

关键词： Sleep Mobile handsets Testing Mobile communication Algorithm design and analysis Microphones

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