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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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Correction to "Fast and Reliable CT Saturation Detection Using a Combined Method"

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IEEE Transactions on Power Delivery 2009年第4期24卷 2463-2463页

作者： Hamed Dashti Majid Sanaye-Pasand Mahdi Davarpanah Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran

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Attenuation of ultrasound pressure fields described via contrast source formulation

Attenuation of ultrasound pressure fields described via cont...

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IEEE Symposium (IUS) Ultrasonics

作者： L. Demi M.D. Verweij J. Huijssen N. de Jong K.W.A. van Dongen Laboratory of Acoustical Imaging and Sound Control Faculty of Applied Sciences Delft University of Technnology Netherlands Laboratory of Electromagnetic Research Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technnology Netherlands Laboratory of Experimental Echocardiography Erasmus MC-University Medical Center Rotterdam Rotterdam Netherlands

Experimental data reveal that attenuation is an important phenomenon in medical ultrasound. The phenomenon is of particular importance for applications based on nonlinear propagation, as the higher frequency components of the pressure field generally experience greater attenuation. Therefore a method that is capable of modeling attenuation accurately is essential. In this paper we present a method to model attenuation via a contrast source formulation. We compare the obtained results with a version of the INCS method in which the attenuation is included in the Green's function. Both results are in excellent agreement with each other.

关键词： Attenuation Ultrasonic imaging Nonlinear acoustics Laplace equations Nonlinear equations Laboratories Biomedical imaging Acoustic propagation Acoustic waves Biomedical acoustics

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Multi-area integrated E/MEG and fMRI modeling

Multi-area integrated E/MEG and fMRI modeling

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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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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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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 predictive control of fuel cell micro cogeneration systems

Model predictive control of fuel cell micro cogeneration sys...

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IEEE International Conference on Networking, Sensing and control

作者： Michiel Houwing Rudy R. Negenborn Marija D. Ilic Bart De Schutter Electic Energy Systems Group of Carnegie Mellon University Pittsburgh PA USA Faculty of Technology Policy and Management Delft University of Technnology Delft Netherlands Delft Center of Systems and Control Delft University of Technnology Delft Netherlands Departments of Electrical and Computer Engineering and Engineering and Public Policy Carnegie Mellon University Pittsburgh PA USA Control of Future Electricity Network Operations Faculty of Technology Delft University of Technnology Delft Netherlands Marine and Transport Technology Department Delft University of Technnology Netherlands

With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro-CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration.

关键词： Predictive models Predictive control Fuel cells Cogeneration Resistance heating Power system modeling Distributed control Energy resources Information technology Costs

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Fractional Order control - A Tutorial

Fractional Order Control - A Tutorial

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2009 American control Conference (ACC 2009)

作者： YangQuan Chen Ivo Petras Dingyu Xue Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University 4120 Old Main Hill Logan UT 84322-4120 USA Institute of Control and Informatization of Production Processes BERG Faculty Technical University of Kosice B. Nemcovej 3 042 00 Kosice Slovak Republic Faculty of Information Sciences and Engineering Northeastern University Shenyang 110004 P R China

ISBN: (纸本)9781424445233

Many real dynamic systems are better characterized using a non-integer order dynamic model based on fractional calculus or, differentiation or integration of non-integer order. Traditional calculus is based on integer order differentiation and integration. The concept of fractional calculus has tremendous potential to change the way we see, model, and control the nature around us. Denying fractional derivatives is like saying that zero, fractional, or irrational numbers do not exist. In this paper, we offer a tutorial on fractional calculus in controls. Basic definitions of fractional calculus, fractional order dynamic systems and controls are presented first. Then, fractional order PID controllers are introduced which may make fractional order controllers ubiquitous in industry. Additionally, several typical known fractional order controllers are introduced and commented. Numerical methods for simulating fractional order systems are given in detail so that a beginner can get started quickly. Discretization techniques for fractional order operators are introduced in some details too. Both digital and analog realization methods of fractional order operators are introduced. Finally, remarks on future research efforts in fractional order control are given.

关键词： Tutorial Fractional calculus control systems Three-term control electrical equipment industry Industrial control Numerical simulation Voltage Propagation losses Transmission line theory

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control of Discrete Linear Repetitive Processes with Non-causal Dynamics

Control of Discrete Linear Repetitive Processes with Non-cau...

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第二十七届中国控制会议

作者： Cichy B. Galkowski K. Rogers E. Kummert A. Institute of Control and Computation Engineering University of Zielona Gora School of Electronics and Computer Science University of Southampton Faculty of Electrical Information and Media EngineeringUniversity of Wuppertal

ISBN: (纸本)9787900719706

Repetitive processes propagate information propagation in two independent directions and are of both systems theoretic and applications *** cannot be controlled by direct extension of existing techniques from either standard(termed 1D here) or(often) 2D systems *** this paper we propose,motivated by critical features in the dynamics of some examples a model which has non-causal elements and then develop new results on the stability and control of examples which it represents.

关键词： Stability analysis,Rubust control,LMI

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