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IEEE Conference on Decision and control

作者： Qinmin Yang S. Jagannathan Youxian Sun State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Hangzhou Zhejiang 310027 China Department of Electrical and Computer Engineering Missouri University of Science and Technology (formerly University of Missouri-Roll) 1870 Miner Circle Rolla MO 65409

ISBN: (纸本)9781612848006

This paper presents a novel state and output feedback control law for the tracking control of a class of multi-input-multi-output (MIMO) continuous time nonlinear systems with unknown dynamics and disturbance input. First the state feedback based control law is designed which consists of the robust integral of a neural network (NN) output plus the sign of the tracking error signal multiplied with an adaptive gain. The two-layer NN learns the system dynamics in an online manner while the NN residual reconstruction errors and the bounded system disturbances are overcome by the error sign signal. Both of the NN output and error sign signal are included into the integral to ensure the control input is a smooth function. Since certain states are not available in practice, subsequently, a high-gain observer is utilized to estimate the unmeasurable system states and output feedback based controller is designed. A semi-global asymptotic tracking performance is guaranteed in the case of state feedback while boundedness in the case of output feedback and the NN weights and all other signals are shown to be bounded by using the Lyapunov method. Finally, theoretical results are verified in the simulation environment.

关键词： Output feedback Neural network State feedback follow error control input Simulated Environment Output Feedback control System dynamics ERROR control Smooth function signals ERROR SIGNAL tracking control

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Consistent detection of cancer biomarkers with linear models

Consistent detection of cancer biomarkers with linear models

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IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： E.M. Rivera Z. Irizarry M. L. Sánchez-Peña C. E. Isaza J. Seguel M. Cabrera-Ríos Bio IE Lab Industrial Engineering Department University of Puerto Rico MayagÜez Mayaguez Puerto Rico Biology Department Autonomous University of Nuevo León Mexico Electrical & Computer Engineering Department University of Puerto Rico MayagÜez Mayaguez Puerto Rico

High throughput biological experiments such as DNA Microarrays are very powerful tools to understand and characterize multiple illnesses. These types of experiments, however, have also been described as large, complex, expensive and hard to analyze. For these reasons, analyses with linear assumptions are frequently bypassed for more sophisticated procedures with higher complexity. In this work, a search procedure for potential biomarkers using data from microarray experiments is proposed under purely linear assumptions. The method shows a high discrimination rate and does not require the adjustment of parameters by the user, thus preserving analysis objectivity and repeatability. A case study in the identification of potential biomarkers for cervix cancer is presented to illustrate the application of the proposed procedure.

关键词： Biomarkers Cancer Biological system modeling Linear regression Mathematical model Optimization Analytical models

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Wavelet-based EEG denoising for automatic sleep stage classification

Wavelet-based EEG denoising for automatic sleep stage classi...

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International Conference on Electronics, Communications and computers (CONIELECOMP)

作者： Edson Estrada Homer Nazeran Gustavo Sierra Farideh Ebrahimi S. Kamaledin Setarehdan Department of Electrical and Computer Engineering University of Texas El Paso El Paso TX USA Autónoma de Ciudad Juárez Instituto de Ciencias Biomédicas Universidad Chih Mexico Control and Intelligent Processing Center of excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

In automatic sleep stage classification, as in any other signal processing task involving the easily contaminated EEG signals, denoising constitutes a crucial pre-processing step that must be addressed before carrying out further analysis on the EEG signals. Discrete wavelet transform offers an effective solution for denoising nonstationary signals such as EEG due to its shrinkage property. In this paper, we explored the application of wavelet denoising method to EEG signals acquired during different sleep stages classified according to the RK rules, with the objective to identify suitable thresholding rules and threshold values. Preliminary results showed that the combination of soft thresholding rule applied to the Detailed wavelet coefficients with the Universal threshold value produced better performance measures such as a smaller Minimum Squared Error (MSE) and a larger signal-to-Noise Ratio (SNR). Similarly improved results were obtained for Stage 1, Stage 2, Stage 3, Stage 4 and REM stage EEG signals using this combination. Such thresholding rule and values are equally well applicable to denoising EEG epochs acquired from deep sleep stages.

关键词： Electroencephalography Discrete wavelet transforms Noise reduction Signal to noise ratio Sleep Finite impulse response filter

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A Review of Energy Efficiency in Data Processing Centers

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Journal of Energy and Power engineering 2011年第4期5卷 361-372页

作者： C. Redondo A. Fern/mdez Castile and Leon Technological Center for Supercomputing （FCSC） Edificio CRAI- TIC Campus de Vegazana s/n University of Le6n E-24071-Lean Spain Electrical Engineering and Systems Engineering and Automatic Control Department Faculty of lndustrial and Computer Engineering University of Leon E-24071-Leon Spain

This article explores, through a case study, measures of energy efficiency in data processing centers. An analysis of this case demonstrates how the design criteria could improve the rate of consumption in IT centers, which is currently the second most contaminating industry on the planet, and is the responsible for 2% of CO2 emissions, surpassed only by the aeronautical industry. The present and future situation of IT center energy consumption and associated environmental effects is analyzed, and also looks at how state-of-the-art technology, correctly implemented, could ensure significant rationalization of data processing center energy consumption. The article will examine optimization techniques, specific problems and case studies.

关键词： Energy management data processing centers energy efficiency.

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Analysis and characterization of different metamaterial patterns embedded on a Quasi Yagi antenna for RFID application

Analysis and characterization of different metamaterial patt...

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IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems, COMCAS

作者： H. X. Araujo S. E. Barbin L. C. Kretly Department of Microwave and Optics School of Electrical and Computer Engineering State University of Campinas-UNICAMP Campinas Sao Paulo Brazil Department of Telecommunications and Control Polytechnic School of Engineering University of Sao Paulo Sao Paulo Sao Paulo Brazil

The analysis and characterization of different types of metamaterials patterns, such as fractal cells, Jerusalem-Cross-Pair, SRR - split ring resonator and CSRR - complementary split ring resonator, associated with an UHF Quasi-Yagi antenna are performed. The basic metamaterial cells pattern employed are composed by periodical arrangement of cooper strips located at strategic positions of the structure. Owing to its unit cell symmetry, isotropic response is provided to any linearly polarized incident wave. The target of this study is to define the best combination of metamaterial patterns for RFID applications.

关键词： Metamaterials Antennas Radiofrequency identification Fractals Magnetic materials Optical ring resonators

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Individualized PID control of Depth of Anesthesia Based on Patient Model Identification During the Induction Phase of Anesthesia

Individualized PID Control of Depth of Anesthesia Based on P...

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IEEE Conference on Decision and control

作者： Kristian Soltesz Jin-Oh Hahn Guy A. Dumont J. Mark Ansermino Department of Automatic Control Lund University Lund Sweden Department of Mechanical Engineering University of Alberta Edmonton Canada Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Department of Anesthesiology Pharmacology and Therapeutics University of British Columbia Vancouver Canada

ISBN: (纸本)9781612848006

This paper proposes a closed-loop propofol admission strategy for depth of hypnosis control in anesthesia. A population-based, robustly tuned controller brings the patient to a desired level of hypnosis. The novelty lies in individualizing the controller once a stable level of hypnosis is reached. This is based on the identified patient parameters and enhances suppression of output disturbances, representing surgical stimuli. The system was evaluated in simulation on models of 44 patients obtained from clinical trials. A large amount of improvement (20 - 30percent) in load suppression performance is obtained by the proposed individualized control.

关键词： Medical control systems Drug delivery control system synthesis Medical simulation

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New simplified model for an under-actuated quadruped robot in bounding motion

New simplified model for an under-actuated quadruped robot i...

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International Conference on control, Instrumentation, and Automation

作者： Hamed Kazemi Vahid Johari Majd Majid M. Moghaddam Intelligent Control Systems Laboratory School of Electrical and Computer Engineering Tarbiat Moalem University Tehran Iran Intelligent Control Systems Laboratory Tarbiat Modares University Tehran Iran Robotics and Mechatronics Laboratory Mechanical Engineering Department Tarbiat Moalem University Tehran Iran Mechanical Engineering Department Tarbiat Modares University Tehran Iran

In this paper, a quadruped robot is studied in bounding motion. A new simplified model of quadruped robot in bounding motion with four actuated and two unactuated joints is developed. The kinetic and potential energies of the under-actuated mechanical model of the quadruped robot are obtained and the dynamics of the robot model is derived using the Lagrangian method. It is shown that the dynamical equation of the proposed simplified model belongs to a class of second-order nonholonomic mechanical systems. The main motivation of this paper is to obtain quadruped model in bounding motion such that one can apply different control methods directly or after transformation in the obtained dynamic equations. Utilizing MATLAB, dynamics of the planar model has been simulated in backward and forward states. Physical parameters of the Little-Dog robot as an instance of the quadruped robot are considered in simulation The simulation is without control and therefore is unstable but it illustrates robot's manner in bounding motion before instability.

关键词： Mathematical model Legged locomotion Dynamics Equations Joints Robot kinematics

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Energy Balancing in an OFDM-Based WSN

Energy Balancing in an OFDM-Based WSN

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IEEE Conference on Vehicular Technology (VTC)

作者： Di Wu Gang Zhu Dongmei Zhao Lina Liu State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering McMaster University Hamilton ONT Canada

The energy balancing is one of the main concerns in wireless sensor networks (WSNs). Different from current methods, this paper attempts to solve the unbalanced energy consumption problem in the orthogonal frequency division multiplexing (OFDM) system for a WSN. The objective is to increase the sum throughput with almost equal energy consumption among the sensor nodes. Inspired by this goal, we formulated the optimization problem. Then a heuristic method is designed to solve this complex problem. The impact of number of subcarriers and sensor nodes on the fairness are studied in the numerical simulation. Comparisons with different common methods are made to show that the proposed method could achieve the excellent energy consumption fairness and better achievable throughput.

关键词： Wireless sensor networks Throughput Energy consumption OFDM Monitoring Resource management Heuristic algorithms

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STORYBOARD OF WCE VIDEO EXTRACTION BASED ON FRAME DIFFERENCE

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International Journal of Information Acquisition 2011年第4期08卷 315-324页

作者： YANAN FU MRINAL MANDAL DAVID W. ZHANG MAX Q.-H. MENG School of Control Science and Engineering Shandong University Jinan 250011 P. R. China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada T6G 2V4 Canada Department of Electronic Engineering Chinese University of Hong Kong Hong Kong P. R. China

Wireless capsule endoscopy (WCE) is an imaging technology that enables close examination of the interior of the entire small intestine. A major problem associated with this new technology is that a large volume of video data need to be examined manually by clinicians. It is therefore useful to design a mechanism that allows the clinicians to gain certain evaluation of a video without watching the whole video. In this paper, a shot detection-based method is presented for automatically establishing the WCE video static storyboard, and then moving storyboard is extracted based on the selected representative frames under the supervision of clinicians. Experimental results show that most of the representative frames containing relevant features can be extracted from the original WCE video. The proposed method can significantly and safely reduce the number of frames that need to be examined by clinicians and thus speed up the diagnosis procedures.

关键词： Wireless capsule endoscopy static storyboard moving storyboard video abstraction

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Consensus Acceleration of Multi-agent Systems via Model Prediction

Consensus Acceleration of Multi-agent Systems via Model Pred...

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2011 American control Conference (ACC)

作者： Zhiyong Chen Hai-Tao Zhang School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW Australia Department of Control Science and Engineering State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan China

A fastest consensus problem of topology fixed networks has been formulated as an optimal linear iteration problem and efficiently solved by Xiao and Boyd [1]. Considering a kind of predictive mechanism, we show that the consensus evolution can be further accelerated while physically maintaining the network topology. The underlaying mechanism is that an effective prediction is able to convert the network status along temporal dimension to that in spatial dimension and hence induce a network with a virtually denser topology. With this topology, an even faster consensus is expected to occur. The result is motivated by the predictive mechanism widely existing in biological swarms, flocks, and synchronization networks.

关键词： Eigenvalues and eigenfunctions Network topology Acceleration Trajectory Convergence Topology Protocols

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