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IEEE Conference on Robotics, Automation and Mechatronics

作者： Wook Bahn Jaehong Park Chang-hun Lee Tae-il Kim Teajae Lee Muhammad Muneeb Shaikh Kwang-soo Kim Dong-il Cho Automation and Systems Research Institute (ASRI) and School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea ASRI/Inter-university Semiconductor Research Center (ISRC) and School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea

This paper presents a vision-tracking system for a mobile robot, using robot motion and stereo vision data. The mobile robot has an actuator module which pans and tilts an integrated stereo camera. The proposed system controls the actuator to maintain the line of sight of the stereo camera towards a stationary target by using the robot motion data. The robot motion data are obtained from a gyroscope and encoders of the mobile robot. The stereo vision data from the camera is used to compensate for errors in the motion measurements, and to prevent a long term error accumulation. This vision-based compensation is used only when the robot stops or moves slowly, because the long vision processing times can cause the loop time to overrun. The proposed system is experimentally evaluated while the robot moves on a trajectory.

关键词： Cameras Mobile robots Robot vision systems Robot kinematics Vectors Stereo vision

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Effective Supervised Classification of fMRI Activation Maps between Populations by Spatial Descriptors

Effective Supervised Classification of fMRI Activation Maps ...

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Iranian Machine Vision and Image Processing (MVIP)

作者： Shaghayegh Eshaghian Gholam-Ali Hossein-Zadeh Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI USA

The major obstacle in discrimination between different groups of subjects in a common cognitive state, by functional Magnetic Resonance Imaging (fMRI), has been the high inter- subject functional and anatomical variability in the spatial patterns of brain activity. To overcome this, we have used two types of spatial descriptors that characterize the brain regions of interest (ROIs) involved in the cognitive tasks. They include, firstly three-dimensional invariant moment descriptors (3-DMIs), and secondly k-dimensional feature vectors based on concentric spheres. Both types of descriptors are applied to analyze the spatial patterns of cognitive activity of a challenging task and then to classify them across two different subject groups. SVM classifiers along with sequential floating forward feature selection technique are applied to the extracted descriptors of each ROI across the subjects. Our method is applied to experimental fMRI data with the aim of discriminating mental status of heroin IV (Intravenous) abusers and from of those in control subjects in a visual cue task which can induce drug craving. Our results demonstrate that 3-D texture of activation maps provide a good discrimination (with high accuracy) between healthy and addict group.

关键词： Feature extraction Accuracy Drugs Brain Support vector machine classification Visualization Humans

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Improved particle swarm optimization and applications to Hidden Markov Model and Ackley function

Improved particle swarm optimization and applications to Hid...

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IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA)

作者： Saeed Motiian Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI USA

Particle Swarm Optimization (PSO) is an algorithm based on social intelligence, utilized in many fields of optimization. In applications like speech recognition, due to existence of high dimensional matrices, the speed of standard PSO is very low. In addition, PSO may be trapped in a local optimum. In this paper, we introduce a novel algorithm that is faster and generates superior results than the standard PSO. Also, the probability of being trapped in a local optimum is decreased. To illustrate advantages of the proposed algorithm, we use it to train a Hidden Markov Model (HMM) and find the minimum of the Ackley function.

关键词： Hidden Markov models Training Particle swarm optimization Speech processing Educational institutions Algorithm design and analysis Optimization

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A Multi-Robot System for Dome Inspection and Maintenance: Concept and Stability Analysis

A Multi-Robot System for Dome Inspection and Maintenance: Co...

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IEEE International Conference on Robotics and Biomimetics

作者： A. Nejadfard H. Moradi M. Nili Ahmadabadi School of Electrical and Computer Engineering the University of Tehran Control and Intelligent Processing Center of Excellence at the Electrical and Computer Engineering Department at the University of Tehran

ISBN: (纸本)9781457721366

In this paper a novel approach based on multi-robot cooperation is introduced for inspection and repair of dome structures. In this application, three robots which can be extended to more, connect to each other by three strings and cooperate such that all the robots are stable and at least one robot have access to all parts of the dome. The mathematical model of the system is derived and a systematic methodology is developed to find an optimal configuration, based on minimizing the strings' tensions or maximizing the stability, using Particle Swarm Optimization (PSO) algorithm and quadratic programming. The simulation results prove that there exists a stable path to fully sweep the surface of a dome. The experimental results on a small scale prototype validate these findings.

关键词： dome Stability analysis Dome Device Component Robot Robot System optimal configuration Cosmic strings Inspection stalls(animals)

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Stabilization of linear systems with distributed delay and saturation nonlinearity

Stabilization of linear systems with distributed delay and s...

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Chinese control Conference (CCC)

作者： Bin Zhou Huijun Gao Zongli Lin Guang-Ren Duan Center for Control Theory and Guidance Technology Harbin Institute of Technology China Space Control and Inertial Technology Research Center Harbin Institute of Technology China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia U.S.A.

This paper is concerned with stabilization of a linear system with distributed input delay and input saturation. Both constant and time-varying delays are considered. In the case that the input delay is constant, under the stabilizability assumption on an auxiliary system, it is shown that the system can be stabilized by state feedback for an arbitrarily large delay as long as the open-loop system is not exponentially unstable. In the case that the input delay is time-varying, but bounded, it is shown that the system can be stabilized by state feedback if the non-asymptotically stable poles of the open-loop system are all located at the origin. In both cases, stabilizing controllers are explicitly constructed by utilizing the parametric Lyapunov equation based low gain design approach we recently developed. It is also shown that in the presence of actuator saturation and under the same assumptions on the system, these controllers achieve semi-global stabilization. Some discussions on the assumptions we impose on the system are given. A numerical example illustrate the effectiveness of the proposed stabilization approach.

关键词： Delay State feedback Linear systems Delay effects Eigenvalues and eigenfunctions Riccati equations

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Home-Based Mobile Cardio-Pulmonary Rehabilitation Consultant System

Home-Based Mobile Cardio-Pulmonary Rehabilitation Consultant...

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

作者： Hsu-En Lee Wen-Chih Wang Shao-Wei Lu Bo-Yuan Wu Li-Wei Ko Department of Computer Science and Brain Research Center National Chiao Tung University Institute of electrical Control Engineering and Brain Research Center National Chiao Tung University Brain Research Center and Department of Biological Science and Technology National Chiao Tung University

ISBN: (纸本)9781424441211

Cardiovascular diseases are the most popular cause of death in the world recently. For postoperatives, cardiac rehabilitation is still asked to maintain at home (phase II) to improve cardiac function. However, only one third of outpatients do the exercise regularly, reflecting the difficulty for home-based healthcare: lacking of monitoring and motivation. Hence, a cardio-pulmonary rehabilitation system was proposed in this research to improve rehabilitation efficiency for better prognosis. The proposed system was built on mobile phone and receiving electrocardiograph (ECG) signal from a wireless ECG holter via Bluetooth connection. Apart from heart rate (HR) monitor, an ECG derived respiration (EDR) technique is also included to provide respiration rate (RR). Both HR and RR are the most important vital signs during exercise but only used one physiological signal recorder in this system. In clinical test, there were 15 subjects affording Bruce Task (treadmill) to simulate rehabilitation procedure. Correlation between this system and commercial product (Custo-Med) was up to 98% in HR and 81% in RR. Considering the prevention of sudden heart attack, an arrhythmia detection expert system and healthcare server at the backend were also integrated to this system for comprehensive cardio-pulmonary monitoring whenever and wherever doing the exercise.

关键词： Electrocardiography Heart Rate electrochemical grinding Exercise Clinical Trial Rehabilitation Lake Restoration Mobile phones Cardiovascular Diseases Outpatients Cause of Death Consultant Vital Signs

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Functional Requirement and Realization of Regional Smart Grid Energy Management System

Functional Requirement and Realization of Regional Smart Gri...

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第八届IEEE信息与自动化国际会议(ICIC 2011)

作者： Xilin Zhang Xiaojuan Han Xiaohua Wan Shuo Wang Dispatching Center Changchun Power Supply Company Changchun 130012China Department of Control and Computer Engineering North China Electrical Power University Beijing 10220 Department of Engineering Changchun Huaxin Automation Engineering Co. LTD Changchun130012China Transformation Controlled Company Jilin Electric Power Transmission Engineering Corporation Changchu

ISBN: (纸本)9781457702686

From the requirement of satisfying regional monitoring and scheduling management under the characteristics of the regional grid and the connotation of intelligent grid as well as regulation and control integration management,power quality on-line monitoring of EMS in regional intelligent grid and optimized operation setting checking conditions of arc-suppression coil are discussed in this paper. Load forecast data sources and functional requirements of SCADA picture for engineering design and realization method are provided in this paper.

关键词： arc-suppression coil energy management system load forecast power quality smart grid Energy management systems load forecasting Smart grids functional requirements Power quality ON-LINE MONITORS design engineering

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Introduction

Communications and Control Engineering

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Communications and control engineering 2011年第9780857292551期 1-15页

作者： Sun, Zhendong Ge, Shuzhi Sam College Automation Science & Engineering Center for Control and Optimization South China University of Technology Guangzhou510640 China Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Robotics Institue and Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China Chengdu China

Chapter 1 briefly introduces the problem formations and the organization of the book. In particular, given a feasible set of switching signals, the concepts of stability and stabilizability are introduced, and the related problems of stability and stabilization are briefly formulated and discussed. Examples and simulations are provided to exhibit the primary features of the problems with various switching mechanisms. © 2011, Springer-Verlag London Limited.

关键词： Stabilization

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Effect of Different Diffusion Maps on Registration Results

Effect of Different Diffusion Maps on Registration Results

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Iranian Machine Vision and Image Processing (MVIP)

作者： Maryam Afzali Emad Fatemizadeh Hamid Soltanian-Zadeh Department of Electrical Engineering Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper, we compare registration results obtained using different diffusion maps extracted from diffusion tensor imaging (DTI). Fractional Anisotropy (FA) and Ellipsoidal Area Ratio (EAR) are two diffusion maps (indices) that may be used for image registration. First, we use FA maps to find deformation matrix and register diffusion weighted images. Then, we use EAR maps and finally we use both of FA and EAR maps to register diffusion weighted images. The difference between FA values before deformation and after registration using the FA alone or EAR alone has a median of 0.57 and using both of them has a median of 0.29. Therefore, the results of registration using both of the FA and EAR indices are superior to those obtained using only one of them alone.

关键词： Ear Diffusion tensor imaging Tensile stress Registers Eigenvalues and eigenfunctions Anisotropic magnetoresistance Image registration

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Gearbox Ripple Rejection of Robots Using Observer and Adaptive control Theory

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IFAC Proceedings Volumes 2011年第1期44卷 893-898页

作者： Sebastian Maier Johann Bals Marc Bodson Department of System Dynamics and Control Institute of Robotics and Mechatronics German Aerospace Center (DLR) 82234 Wessling Germany Muenchner Str. 20 Department of Electrical and Computer Engineering University of Utah 50 S Central Campus Dr. Salt Lake City UT 84112 USA

Abstract Robots are often run with permanent magnet synchronous motors (PMSM) with a high ratio gearbox. Both parts can produce parasitic oscillations (ripples), which let the robot shake at tool center point. The gearbox ripple problem is more complicated to be solved with control theory because only motor side sensors should be used. Due to the internal model principle gearbox side information is necessary to solve the problem. The first algorithm uses an observer to get gearbox side information where the second algorithm uses a gearbox side rate sensor. The algorithms are tested with a nonlinear SISO problem and with a nonlinear MIMO system. In both cases the ripples are canceled with an adaptive controller which estimates the phase and magnitude of the ripple. This adaptive controller is designed separately and is added to the existing basis controller. The algorithms are tested in simulation and on a testbed, which is an industrial application.

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