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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Babajani-Feremi, Abbas Bowyer, Susan Moran, John Elisevich, Kost Podell, Kenneth Soltanian-Zadeh, Hamid Image Analysis Lab. Radiology Department Henry Ford Hospital Detroit MI 48202 United States Neuromagnetism Lab. Neurology Department Henry Ford Hospital Detroit MI 48202 United States Department of Neurology Henry Ford Hospital Detroit MI 48202 United States Division of Neuropsychology and Sports Concussion Safety Program Henry Ford Hospital Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran 14395-515 Iran

ISBN: (纸本)9780819475138

Functional magnetic resonance imaging (fMRI) has complementary spatiotemporal resolution compared to Electroencephalography (EEG) as well as Magnetoencephalography (MEG). Thus, their integrated analysis should improve the overall resolution. To integrate analysis of E/MEG and fMRI, we extend our previously proposed integrated E/MEG and fMRI neural mass model to a multi-area model by defining two types of connections: the Short-Range Connections (SRCs) between minicolumns within the areas and Long-Range Connections (LRCs) between inter-areas minicolumns. The nonlinear input/output relationship in the proposed model is derived from the state space representation of the multi-area model. The E/MEG signals are originated from the overall synaptic activities of the pyramidal cells of all minicolumns and can be calculated using the lead field matrix (i.e., forward electromagnetic model). The fMRI signal is extracted from the proposed integrated model by calculating the overall neural activities in the areas and using it as the input of the extended balloon model (EBM). Using the simulation results, the capabilities of the proposed model to generate E/MEG and fMRI signals is shown. In addition, changes in the dynamics of the model to variations of its parameters were evaluated and lead us to the appropriate ranges for the parameters. In conclusion, this work proposes an effective method to integrate E/MEG and fMRI for the more effective use of these techniques in functional neuroimaging. © 2009 SPIE.

关键词： Electroencephalography

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NEURO-FUZZY BASED FAULT DIAGNOSIS OF A STEAM GENERATOR

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IFAC Proceedings Volumes 2009年第8期42卷 1180-1185页

作者： Roozbeh Razavi-Far Hadi Davilu Vasile Palade Caro Lucas Department of Nuclear Engineering Amirkabir University of Technology P.O. Box 15875-4413 Tehran Iran (Tel:+98-***) Computing Laboratory Oxford University Wolfson Building Parks Road Oxford OX1 3QD UK Center of Excellence on Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395-1515 Tehran Iran

This paper focuses on the development and application of a Neuro-Fuzzy (NF) networks-based scheme for Fault Detection and Isolation (FDI) in a U-tube Steam Generator (UTSG). First, a NF network is trained with data collected from a full scale UTSG simulator, and residuals are generated for fault detection. To identify the UTSG, a Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained using the Locally Linear Model Tree (LOLIMOT) algorithm which is an incremental tree structure algorithm. Then, an evolutionary algorithm is used to train a Mamdani type NF network to classify the residuals. The residuals are analyzed by using this NF classifier for fault isolation purposes.

关键词： Fault Diagnosis Neuro-Fuzzy Networks Locally Linear Neuro Fuzzy Model Locally Linear Model Tree Steam Generator

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engineering research and education in power system voltage stability enhancement

Engineering research and education in power system voltage s...

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IEEE General Meeting Power& Energy Society

作者： James A. Momoh C. Trevor Gaunt Sunny Onohaebi Center of Energy Systems and Control (CESaC) Howard University College of Medicine Washington D.C. DC USA University of Cape Town South Africa Head of the Department of Electrical Electronics and Computer Engineering (EECE) University of Benin Benin Nigeria

Research in areas of voltage stability monitoring, assessment and control of power systems is an ongoing international activity at Howard University. The research engineering development involves real-time system parameters to compute a Voltage Stability Index (VSI) and margin, and provide advanced control schemes to mitigate the Voltage/Var problems. The strategy is based on the use of advanced measurement technologies to lay the foundations for applications of advanced optimization methods such as hybrid Fuzzy Logic Adaptive Dynamic Programming based controllers for VSI control and coordination. Thus far, the related international activities of our research and education work involve Howard University, University of Benin (Uniben) in Nigeria, and University of Cape Town (UCT) in South Africa (SA). Our research has developed understanding of real-time VSI using but not limited to practical power utility test data system models from both African countries.

关键词： Power system stability Power engineering and energy Power engineering education Systems engineering education Power system control Voltage control control systems Real time systems control engineering education Monitoring

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MABEL, A New Robotic Bipedal Walker and Runner

MABEL, A New Robotic Bipedal Walker and Runner

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2009 American control Conference (ACC 2009)

作者： J.W. Grizzle Jonathan Hurst Benjamin Morris Hae-Won Park Koushil Sreenath Control Systems Laboratory Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI 48109-2122 USA Mechanical Engineering 204 Rogers Hall Oregon State University Corvallis OR 97331 USA Eaton Innovation Center 26201 Northwestern Highway Southfield MI 48076 USA Mechanical Engineering Department University of Michigan Ann Arbor MI 48109-2125 USA

ISBN: (纸本)9781424445233

This paper introduces MABEL, a new platform for the study of bipedal locomotion in robots. One of the purposes of building the mechanism is to explore a novel powertrain design that incorporates compliance, with the objective of improving the power efficiency of the robot, both in steady state operation and in responding to disturbances. A second purpose is to inspire the development of new feedback control algorithms for running on level surfaces and walking on rough terrain. A third motivation for building the robot is science and technology outreach;indeed, it is already included in tours when K-through-12 students visit the College of engineering at the University of Michigan. MABEL is currently walking at 1.1 m/s on a level surface, and a related monopod at Carnegie Mellon is hopping well, establishing that the testbed has the potential to realize its many objectives.

关键词： Alfven surface Robot stability operations runners walking dynamic efficiency Walkers colleges Rough terrain Buildings construction robot

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Particle filtering of point processes observation with application on the modeling of visual cortex neural spiking activity

Particle filtering of point processes observation with appli...

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International IEEE/EMBS Conference on Neural engineering, CNE

作者： Yousef Salimpour Hamid Soltanian-Zadeh Computational Neuroscience in School of Cognitive Sciences Institute of Studies in Fundamental Sciences Tehran Iran Department of Radiology Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence(CIPCE) Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Recording of neural response to specific stimulus in a repeated trial is very common in neuroscience protocol. The perstimulus time histogram (PSTH) is a standard tool for analysis of neural response. However it could not capture the non-deterministic properties of the neuron especially in higher level cortical area such as inferior temporal cortex. The stochastic state point process filter theory is used for the estimation of the conditional intensity of the point process observation as a time varying firing rate and the particle filter is used to numerically estimate this density in time. The particle filters were applied to the results of the point process observation for compensating the Gaussian assumption. The results of applying point process modeling on a real data from inferior temporal cortex of macaque monkey indicates that, based on the assessment of goodness-of-fit, the neural spiking activity and biophysical property of neuron could be captured more accurately in compare to conventional methods.

关键词： Filtering Brain modeling Neurons Stochastic processes State estimation Particle filters Histograms Mathematical model Neural engineering Neuroscience

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Droop based control of parallel-connected single-phase inverters in D-Q rotating frame

Droop based control of parallel-connected single-phase inver...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Saeed Golestan Mahmood Joorabian Hasan Rastegar Arman Roshan Josep M. Guerrero Faculty of Electrical Engineering Amirkabir University of Technology슠 Tehran Iran Shahid Chamran University Ahvaz Iran Center of Power Electronics Systems Virginia Polytechnic Institute and State University Blacksburg VA USA Department of Automatic Control Systems Computer Engineering Universitat Poliltècnica de Catalunya Barcelona Spain

ISBN: (纸本)9781424435067

In this paper, control of parallel single-phase inverters in direct-quadrature(DQ) rotating frame based on droop method is proposed. For each inverter, a secondary orthogonal imaginary circuit is created to provide the second phase required for the transformation; thus a DQ model of the inverter is obtained. The DQ transformation provides a time-invariant model of the inverter which makes the control design similar to that of dc-dc converters. The recognition of this analogy is important in that all of advanced dc-dc converters control techniques that have been previously developed can be applied to the control parallel inverters. The controller then is designed in DQ frame. Theoretically, infinite loop gain can be achieved in DQ rotating frame resulting in the elimination of the steady state error at the fundamental frequency of the inverter. The output impedance of the inverters is also considered, to ensure the decoupling between active and reactive power control using droop method. Simulation results are provided to prove the concept.

关键词： Inverters Communication system control Circuits DC-DC power converters Uninterruptible power systems Power system reliability control systems control design Frequency Reactive power control

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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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Wireless Ventilation control for Large-Scale Systems: the Mining Industrial Case

Wireless Ventilation Control for Large-Scale Systems: the Mi...

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IEEE Annual Communications Society Sensor, Mesh and Ad Hoc Communications and Networks SECON Workshops

作者： M.D. Di Benedetto A. D'Innocenzo C. Fischione A.J. Isaksson K.H. Johansson S.-I. Niculescu S. Olaru G. Sandou F. Santucci E. Serra S. Tennina U. Tiberi E. Witrant Department of Electrical and Computer Engineering DEWS-University of L'Aquila L'Aquila Italy Universita degli Studi dell'Aquila L'Aquila Abruzzo IT Automatic Control Department KTH Stockholm Sweden ABB Corporate Research Center Vasteras Sweden LSS-SUPELEC Gif-sur-Yvette France Automatic Control Department SUPELEC Gif-sur-Yvette France Control Systems Department Université Joseph Fourier-Grenoble Grenoble France

Mining ventilation is an interesting example of a large scale system with high environmental impact where advanced control strategies can bring major improvements. The challenge in this work is focused on the mining ventilation since as much as 50 % or more of the energy consumed by the mining process may go into the ventilation (including heating the air). It is clear that investigating automatic control solutions and minimizing the amount of pumped air to save energy consumption (proportional to the cube of airflow quantity) is of great environmental and industrial interest.

关键词： Ventilation control systems Large-scale systems electrical equipment industry Industrial control Mining industry Automatic control Shafts Fans computational fluid dynamics

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Model based method for determining the minimum embedding dimension from solar activity chaotic time series

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International Journal of engineering, Transactions A: Basics 2008年第1期21卷 31-44页

作者： Mirmomeni, M. Lucas, C. Center of Excellence of Control and Intelligent Processing Department of Electrical and Computer Engineering University Tehran Iran

Predicting future behavior of chaotic time series system is a challenging area in the literature of nonlinear systems. The prediction's accuracy of chaotic time series is extremely dependent on the model and the learning algorithm. On the other hand the cyclic solar activity as one of the natural chaotic systems has significant effects on earth, climate, satellites and space missions. Several methods have been introduced for prediction of solar activity indices especially the sunspot number, which is a common measure of solar activity. In this paper, the problem of embedding dimension estimation for solar activity chaotic time series based on polynomial models is considered. The optimality of embedding dimension has an important role in computational efforts, Lyapunov exponents' analysis and efficiency of prediction. The method of this paper is based on the fact that the reconstructed dynamics of an attractor should be a smooth map, i.e. with no self intersection in the reconstructed attractor. To check this property, a local general polynomial autoregressive model is fitted to the given data and a canonical state space realization is considered. Then, the normalized one-step forward prediction error for different orders and various degrees of nonlinearity in polynomials is evaluated. Besides the estimation of the embedding dimension, a predictive model is obtained which can be used for prediction and estimation of the Lyapunov exponents. This algorithm is applied to indicate the minimum embedding dimension of sunspot numbers (SSN), Disturbance Storm Time or Dst. and Proton Flux indices are some of the most important among solar activity indices and results depict the power of the proposed method in embedding dimension estimation.

关键词： Polynomials

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An innovative generation control system for improving design and stability of shipboard medium-voltage DC Integrated Power System

An innovative generation control system for improving design...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： Vittorio Arcidiacono Antonello Monti Giorgio Sulligoi Research & Development Division M. A. I. Control Systems Limited Milan Italy Institute of Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Aachen Germany Department of Electrical Electronic and Computer Engineering University of Trieste Trieste Italy

Ensuring system stability in medium-voltage DC (MVDC) integrated power systems (IPS) is a key issue, due to the presence of many shipboard electric users fed by constant power load (CPL) converters. This paper presents an innovative control system aimed at utilizing alternators, connected to the IPS through controlled AC-DC interface converters, to improve MVDC stable voltage control. Such system is designed to control, for each shipboard generator, the AC machine voltage, the prime mover speed and the interface converter, in an integrated way. Technological aspects and control principle scheme of this system will be presented in the paper, with particular reference to the issue of DC-link voltage stability. This system is expected to bring advantages in terms of MVDC IPS integration, stable parallel operation of generators and loads, safe exploitation of alternators capability as a source of stabilizing power.

关键词： Power system stability DC generators Power generation control systems Medium voltage Power system control Power systems Voltage control Alternators Analog-digital conversion

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