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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Mathieu Jospin Pere Caminal Erik W. Jensen Montserrat Vallverdu Michel M.R.F. Struys Hugo E.M. Vereecke Daniel T. Kaplan Department of Automatic Control Biomedical Engineering Research Center Technical University of Catalonia Barcelona Spain Department of Anesthesia Ghent University Hospital Ghent Belgium Department of Mathematics and Computer Science Macalester College Saint Paul MN USA

Over the last ten years, monitors of depth of anesthesia have progressively been integrated in the clinical practice. Based on the analysis of the electroencephalogram (EEG), these monitors deliver an index that helps the anesthesiologist to determine the state of the patient during the surgery. Although they employ different kind of algorithms, spectral parameters are always taken into account to achieve the final indexes. In this work, a new spectral parameter based on the cumulative power spectrum is proposed. When compared to the Spectral Edge Frequency (SEF), a classic spectral parameter, the Cumulative Power Spectrum Index (CPSI) presents a higher correlation with reference indexes (AAI, BIS and CePROP) and a higher prediction probability of the state of the patient. Furthermore, when compared to the reference indexes, the CPSI shows similar performances in terms of correlation and presents a higher prediction probability than two of them (BIS and CePROP).

关键词： Anesthesia Electroencephalography Frequency Patient monitoring Databases Hospitals Drugs Biomedical monitoring Entropy Surgery

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A hybrid model for face recognition using facial components

A hybrid model for face recognition using facial components

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International Symposium on Signal Processing and Its Applications (ISSPA)

作者： Mehrtash T. Harandi Majid Nili Ahmadabadi Babak N. Araabi School of cognitive science SCS Institute for Studies Theoretical Physics and Mathematics (IPM) Tehran Iran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424407781

It is generally agreed that faces are not recognized only by utilizing some holistic search among all learned faces, but also through a feature analysis that aimed to specify more important features of each specific face. This paper addresses a novel decision strategy that efficiently uses both holistic and facial component (eye, nose and mouth) feature analysis to recognize faces. The proposed algorithm first performs a holistic search using the whole image features and selects probable candidates for further processing. Then the facial features of these probable candidates are compared and classified with the stored patterns in the train set. Finally the classification results are fused with a weighted majority voting to form the final decision. Simulation studies justify the superior performance of the proposed method as compared to that of Eigenface method.

关键词： Face recognition Facial features Humans Nose Mouth Linear discriminant analysis Lighting Voting Principal component analysis Independent component analysis

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Output feedback control and sensor placement for a hypersonic vehicle model

Output feedback control and sensor placement for a hypersoni...

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AIAA Guidance, Navigation, and control Conference 2007

作者： Jankovsky, Pete Sigthorsson, David O. Serrani, Andrea Yurkovich, Stephen Bolender, Michael A. Doman, David B. Collaborative Center for Control Science Ohio State University Columbus OH 43210 United States Air Force Research Laboratory Wright-Patterson Air Force Base Dayton OH 45433 United States Department of Electrical and Computer Engineering 2015 Neil Ave. Columbus OH United States AFRL/VACA 2210 Eighth St. Dayton OH United States AIAA United States

ISBN: (纸本)1563479044

This paper addresses issues related to output feedback control, including sensor placement, for a model of an air-breathing hypersonic vehicle. The model presents a number of control challenges, in particular because of strong couplings between the propulsive and aerodynamic forces. Because of the vehicle's low weight, slenderness, and length, the vehicle's flexibility has a large impact on stability and control of the vehicle. Two output feedback control methods are developed. One applies reconstruction of the flexible body system states, toward applications of state feedback control. The other uses a robust design that does not rely on an observer to ensure stabilization and performance throughout a given flight envelope. A rate gyroscope and an accelerometer have been modeled, incorporating the flexible effects, and strategies for sensor placement have been developed for the hypersonic vehicle model to enhance observability or to preserve certain system structures that are favorable for robust control design. Simulation results are provided to demonstrate the sensor placement strategies and output feedback control performances.

关键词： Feedback control

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Data modeling for content-based support environment (C-BASE): Application on epilepsy data mining

Data modeling for content-based support environment (C-BASE)...

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17th IEEE International Conference on Data Mining Workshops, ICDM Workshops 2007

作者： Siadat, Mohammad-Reza Soltanian-Zadeh, Hamid Fotouhi, Farshad Eetemadi, Ameen Elisevich, Kost Department ofComputer Science and Engineering Oakland University Rochester MI 48309 United States Radiology Image Analysis Lab. Henry Ford Health System Detroit MI 48202 United States Control and Intelligent Proc. Center of Excellence Dept. of Elec. and Comp. Eng. Univ. of Tehran Tehran 14395-515 Iran Department of Computer Science Wayne State University Detroit MI 48202 United States Department of Neurosurgery Henry Ford Health System Detroit MI 48202 United States

ISBN: (纸本)0769530192

Data Modeling is an essential first step for data preparation in any data mining procedure. Conventional entity-relational (E-R) data modeling is lossy, irreproducible, and time-consuming especially when dealing with unstructured image data associated with complex systems like the human brain. We propose a methodological framework for more objective E-R data modeling by eliminating the structured content-dependent metadata associated with the unstructured data. The proposed method is applied to epilepsy-related image data and a system called the human brain image database system (HBIDS) is developed accordingly. Supported with navigation, segmentation, data fusion, and feature extraction modules, HBIDS provides a content-based support environment (C-BASE). Such an environment potentially provides an unlimited (ad hoc) query support with a reproducible and efficient database schema. Switching between different modalities of data, while confining the feature extractors within the object(s) of interest, HBIDS yields anatomically specific query results. The price of such scheme is large storage requirements and relatively high computational cost. Examples of navigation through unstructured image data and content-based retrieval are presented in this paper. The results show the potential of HBIDS in content-based data management for decision support systems in real life medical applications. © 2007 IEEE.

关键词： Data mining

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control of Discrete Linear Repetitive Processes with H and l2 - l Performance

Control of Discrete Linear Repetitive Processes with H and l...

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American control Conference (ACC)

作者： Ligang Wu James Lam Wojciech Paszke Krzysztof Galkowski Eric Rogers Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Mechanical Engineering University of Hong Kong Hong Kong China Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK

This paper considers the control of discrete linear repetitive processes, which are a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, which are of both system-theoretic and applications interest. In this paper we report new results on the design of control laws with guaranteed levels of performance. In particular, develop algorithms for the design of an H infin and lscr 2 - lscr infin dynamic output feedback controller which guarantees that the resulting controlled process is stable and has prescribed disturbance attenuation performance as measured by H infin and lscr 2 - lscr infin norms.

关键词： control systems Linear systems Algorithm design and analysis Space technology Iterative algorithms Process control Optimal control Stability analysis Convergence Cities and towns

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Experimental verifications on control and sensing of bucky gel actuator/sensor

Experimental verifications on control and sensing of bucky g...

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2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Norihiro Kamamichi Masaki Yamakita Kinji Asaka Zhi-Wei Luo Toshiharu Mukai Bio-mimetic Control Research Center (BMC) The Institute of Physical and Chemical Research (RIKEN) Nagoya Japan Department of Robots and Mechatronics School of Future Science Tokyo Denki University Tokyo Japan BMC RIKEN Japan Department of Mechanical and Control Engineering Graduate School of Science Tokyo Institute of Technology Tokyo Japan BMC RIKEN Research Institute for Cell Engineering National Institute of Advanced Industrial Science and Technology (AIST) Odaka Japan Department of Computer and Systems Engineering Kobe University Kobe Japan

Bucky gel actuator is a novel electro-active polymer (EAP), which is a low-voltage driven dry soft actuator. Its device has a bimorph structure with polymer-supported bucky gel electrodes and a polymer-supported ionic gel electrolyte. It can be fabricated by layer-by-layer casting, to form any shape easily. In addition, the bucky gel device generates electromotive force when bending, and then it also can be used as a sensor. Since sensor and actuator functions exist in a same device, flexible and miniature integrated actuator-sensor systems for soft robotics can be constructed easily. In this study, we conduct some experiments to verify the possibility of the bucky gel actuator/sensor. Feedback controls of the actuator are demonstrated and the characteristics of the sensor are investigated. By utilizing both functions of the actuator and the sensor, feedback control based on the sensor signal is demonstrated.

关键词： Actuators Sensor phenomena and characterization Polymer gels Feedback control Electrodes Casting Shape Force sensors Sensor systems Robot sensing systems

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TRACKING control IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

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Asian Journal of control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

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A Simplified Variable Speed Switched Reluctance Motor Drive without Using Encoder

A Simplified Variable Speed Switched Reluctance Motor Drive ...

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International Conference on Electrical Machines and Systems 2007(ICEMS2007)(第十届国际电机与系统会议)

作者： P. Jitkreeyarn K. Tungpimolrut P. Somsiri S. Kachapornkul Akira Chiba Norimasa Tanabe Tadashi Fukao Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Department of Electrical Engineering Faculty of Science and Technology Tokyo University of Science

The switched reluctance motor (SRM) and drive system is a candidate in various applications including the home appliance. The simple and low cost system with an adequate performance is also one topic to be developed. A speed sensor directly increases the cost and it directly influences the reliability of the system. This paper proposes a simplified variable speed control system for the SRM without using an encoder. The method is not based on the exact rotor position estimation, only the turn off angle is determined from the simple relation between measured terminal voltage and current. The effectiveness of the proposed method is verified by the experimental result on the 3 kW 3-phase 6-stator-pole and 4-rotor-pole SRM.

关键词： Switched reluctance motor variable speed drive system turn off angle rotor position estimation

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The Stability Analysis of the Adaptive Fading Extended Kalman Filter

The Stability Analysis of the Adaptive Fading Extended Kalma...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Kwang Hoon Kim Jang Gyu Lee Chan Gook Park Gyu In Jee Department of Electronics Engineering Brain Korea 21 Research Group Konkuk University Seoul South Korea School of Electrical Engineering and Computer Science and Automatic Control Research Center Seoul National University Seoul South Korea School of Mechanical and Aerospace Engineering and Institute of Advanced Aerospace Technology Seoul National University Seoul South Korea Department of Electronics Engineering Konkuk University Seoul South Korea

The well-known conventional Kalman filter gives the optimal solution but requires an accurate system model and exact stochastic information. Thus, the Kalman filter with incomplete information may be degraded or even diverged. In a number of practical situations, the system model and the stochastic information are incomplete. To solve this problem, a new adaptive fading Kalman filter (AFKF) using the forgetting factor has recently been proposed. This paper extends the AFKF to nonlinear system models to obtain an adaptive fading extended Kalman filter (AFEKF). The forgetting factor is generated from the ratio between the calculated innovation covariance and the estimated innovation covariance. Based on the analysis result of Reif for the EKF, the stability of the AFEKF is also analyzed.

关键词： Stability analysis Fading Stochastic systems Nonlinear equations Nonlinear systems Information filtering Information filters Adaptive filters control systems Degradation

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H∞ Filtering for a class of 2D systems

H∞ Filtering for a class of 2D systems

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European Signal Processing Conference (EUSIPCO)

作者： Ligang Wu James Lam Wojciech Paszke Krzysztof Gałkowski Eric Rogers Anton Kummert Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin P. R. China Department of Mechanical Engineering The University of Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra 65–246 Zielona Góra Poland Uniwersytet Zielonogorski Zielona Gora Lubuskie PL Department of Electronics and Computer Science University of Southampton Southampton U.K. Information and Media Engineering University of Wuppertal Faculty of Electrical

The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length. At the end of each pass, the process is reset and the next time through the output, or pass profile, produced on the previous pass acts as a forcing function on, an hence contributes to, the dynamics of the new pass profile. They are hence a class of systems with information propagation in two independent directions where here the dynamics over the finite pass length are described by a matrix linear differential equation and that from pass to pass has a discrete updating structure. This means that filtering/estimation theory/algorithms for, in particular, 2D discrete linear systems is not applicable. In this paper we solve a general filtering problem with a view toward use in the many applications where such action will be required.

关键词： Stability analysis Asymptotic stability Process control Signal processing Linear systems Filtering State-space methods

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