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Load allocation for risk management in overactuated systems experiencing incipient failure conditions

Load allocation for risk management in overactuated systems ...

引用

Conference on control and Fault-Tolerant Systems (SysTol)

作者： Brian M. Bole Douglas W. Brown Hai-Long Pei Kai Goebel Liang Tang George Vachtsevanos Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA NASA Ames Research Center Moffett Field CA USA Impact Technologies LLC Rochester NY USA

This paper examines the fault tolerant control problem for a generic class of incipient failure modes that grow in severity as a function of component loading. Assuming that a prognostic model is available to evaluate the risk of incipient fault modes growing into catastrophic failure conditions, then fundamentally the fault adaptive control problem is to adjust component loads to minimize risk of failure, while not overly degrading nominal performance. A methodology is proposed for posing this problem as a finite horizon constrained optimization, where constraints correspond to maximum risk of failure and maximum allowable deviation from nominal performance. Simulation results are given for an example system with an active redundant DC motor configuration. The fault mode simulated in this system is temperature dependent motor winding insulation degradation.

关键词： Windings Resource management Load modeling Degradation Cost function Loading

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High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter

High performance vision tracking system for mobile robot usi...

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Jaehong Park Wonsang Hwang Hyun-il Kwon Jong-hyeon Kim Chang-hun Lee M. Latif Anjum Kwang-soo Kim Dong-il Cho Automation and Systems Research Institute (ASRI) and School of Electrical Engineering and Computer Science Inter-University Semiconductor Research Center Seoul South Korea South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

This paper introduces a high performance vision tracking system for mobile robot using sensor data fusion. For mobile robots, it is difficult to collect continuous vision information due to robot's motion. To solve this problem, the proposed vision tracking system estimates the robot's position relative to a target and rotates the camera towards the target. This concept is derived from the human eye reflex mechanism, known as the Vestibulo-Ocular Reflex (VOR), for compensating the head motion. This concept for tracking the target results in much higher performance levels, when compared with the conventional method that rotates the camera using only vision information. The proposed system do not require heavy computing loads to process image data and can track the target continuously even during vision occlusion. The robot motion information is estimated using data from accelerometer, gyroscope, and encoders. This multi-sensor data fusion is achieved using Kalman filter. The proposed vision tracking system is implemented on a two-wheeled robot. The experimental results show that the proposed system achieves excellent tracking and recognition performance in various motion scenarios, including scenarios where camera is temporarily blocked from the target.

关键词： Robot sensing systems Target tracking Machine vision Kalman filters Cameras

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Iterative learning control of a class of fractional order nonlinear systems

Iterative learning control of a class of fractional order no...

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IEEE International Symposium on Intelligent control (ISIC)

作者： Yan Li Hyo-Sung Ahn YangQuan Chen School of Control Science and Engineering Shandong University Shandong China Gwangju Institute of Science and Technology Gwangju South Korea Center for Self-Organizing and Intelligent Systems of Department of Electrical and Computer Engineering Utah State University Logan UT USA

This paper firstly addresses the convergence analysis of iterative learning control of a class of fractional order nonlinear systems using the generalized Gronwall-Bellman lemma. Detailed problem definition and conver... 详细信息

关键词： Nonlinear systems Convergence Simulation Fractional calculus Linear systems Differential equations Laplace equations

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A statistical shape model using 2D-principal component analysis from few medical samples and its evaluation

A statistical shape model using 2D-principal component analy...

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International Conference on Software engineering and Data Mining (SEDM)

作者： Tomoko Tateyama Taishi Tanaka Shinya Kohara Amir Hossein Foruzan Akira Furukawa Yen-Wei Chen Intelligent Image Processing Laboratory College of Information Science and Engineering Ritsumeikan University Shiga Japan Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Department of Radiology Shiga University of Medical Science Shiga Japan

ISBN: (纸本)9781424473243;9788988678220;9788988678213

Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.

关键词： Biomedical imaging Shape control Biomedical engineering Principal component analysis Liver Information analysis Educational institutions Azimuth Covariance matrix Image analysis

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Comparison of voxel-based morphometry (VBM) and tractography of diffusion tensor MRI (DT-MRI) in temporal lobe epilepsy

Comparison of voxel-based morphometry (VBM) and tractography...

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Iranian Conference on electrical engineering (ICEE)

作者： Maryam Afzali 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 Health System Detroit MI USA

ISBN: (纸本)9781424467600

Temporal lobe epilepsy (TLE) is a neurological disease that affects millions of individuals in the world. Majority of TLE patients suffer from refractory seizures. Determining abnormal/damaged regions of the brain that harbor seizure focus is a critical step towards treatment of TLE patients. Diffusion tensor imaging (DTI) is a non-invasive method that we use in this work to determine damaged regions of white matter in the brain. To this end, we apply two methods, voxel based morphometry (VBM) and fiber tracking. We use these methods along with two anisotropy maps (EAR and FA) extracted from the DTI data. We use DTI data of 31 subjects (12 normal subjects and 19 TLE patients) for testing and evaluation studies. The VBM method shows that TLE is associated with reduction of both of FA and EAR values in several regions within the temporal lobes. The tractography method shows abnormal diffusion characteristics in three fiber bundles (fornix, uncinate fasciculus, and cingulum). The results show that the EAR maps are less sensitive to noise than the FA maps and the EAR values change more than the FA values in TLE.

关键词： Tensile stress Magnetic resonance imaging Diffusion tensor imaging Temporal lobe Epilepsy Ear Optical fiber testing Diseases Focusing Medical treatment

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sEMG based fuzzy control strategy with ANFIS path planning for prosthetic hand

sEMG based fuzzy control strategy with ANFIS path planning f...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Chandrasekhar Potluri Parmod Kumar Madhavi Anugolu Steve Chiu Alex Urfer Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center MCERC College of Engineering Idaho State University Pocatello ID USA MCERC College of Engineering Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Mechanical and Nuclear Engineering MCERC Idaho State University Pocatello ID USA Department of Electrical Engineering and computer science MCERC Idaho State University Pocatello ID USA

This paper presents an intelligent adaptive neurofuzzy inference system (ANFIS) based fuzzy Mamdani controller for a multifingered prosthetic hand. The objective of the controller is to move the finger joint angles along predetermined paths representing a grasping motion. The initiation of the grasping task is evaluated via EMG-entropy data, measured at the forearm of the prosthetic user. In addition to the motion control, the finger force is regulated with a Fuzzy logic controller. Simulation results indicate good performance of the proposed controller. Results show that the outputs follow the hand/finger force and given reference trajectory closely.

关键词： Entropy Force Fingers Electromyography Fuzzy logic Indexes Prosthetic hand

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Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM

Analyzing effect of distraction caused by dual-tasks on shar...

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International Joint Conference on Neural Networks (IJCNN)

作者： Yu-Kai Wang Nikhil R. Pal Chin-Teng Lin Shi-An Chen Department of Computer Science and Brain Research Center National Chiao Tung University Taiwan Electronics and Communication Sciences Unit Indian Statistical Institute India Department of Electrical and Control Engineering and Brain Research Center National Chiao Tung University Taiwan

Drivers' distraction is widely recognized as a leading cause of car accidents. To investigate the distracting effect of dual-tasks involving driving and answering mathematical equations in the stimulus onset asynchrony (SOA) conditions, we design five different cases: two cases involving single-tasks and three cases involving dual-tasks. We have found that there is no statistically significant change in the behavioral data among the three dual-tasks. This raises an important question - is there any detectable effect of the dual tasks on the brain waves? To answer this, we use the Self-Organizing Map (SOM) to recognize the changes, if any, in the Electroencephalography (EEG) dynamics associated with such dual-tasks. Our SOM analysis based on independent components corresponding to EEG signals extracted from Frontal and Motor areas revealed that single- and dual-tasks have distinguishable signatures in the EEG signals. Specifically, each of the two single-task conditions is clustered in a distinct spatial area of the map. Two of the dual-tasks also exhibit distinct spatial clusters, while the third case although shows differences from the other two, the neurons corresponding to this case are sub-clustered reflecting the fact that different subjects may give different priorities to the tasks when confronted with two tasks simultaneously. SOM-based exploratory analysis reveals the existence of distinct EEG signatures among the distracting and non-distracting tasks, although there is no any noticeable difference in the behavioral data among these cases.

关键词： Electroencephalography Neurons Feature extraction Equations Mathematical model Brain Accuracy

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On the Fractional-Order Distributed Parameter Low-Pass Filter

On the Fractional-Order Distributed Parameter Low-Pass Filte...

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2010 49th IEEE Conference on Decision and control

作者： Yan Li Hu Sheng YangQuan Chen School of Control Science and Engineering Shandong University Jinan 250061 China Department of Electronic Engineering Dalian University of Technology Dalian 116024 China Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University 4120 Old Main Hill Logan UT 84322 USA

ISBN: (纸本)9781424477456

In this paper, we derive the analytical impulse response of a fractional-order distributed parameter low-pass filter of the form integral from x=a to x=b of 1/Ts~(alpha)+1 dT, where 0 <= a <= b and alpha E (0,1). The asymptotic properties of the impulse responses are obtained. Moreover, based on the derived analytical impulse response, we present a technique to perform the discretization of the above fractional-order filter. Finally, a number of illustrated figures are presented to validate the concepts.

关键词： Fractional-order filter Distributed parameter Complex path integral Discretization method

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Sensitivity function of LTI fractional order dynamic systems with respect to the orders

Sensitivity function of LTI fractional order dynamic systems...

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American control Conference (ACC)

作者： Yan Li Dingyü Dingyü Xue YangQuan Chen Center of Self-Organizing & Intelligent Systems CSOIS Electrical an Computer Engineering Department Utah State University Logan UT USA School of Control Science and Engineering Shandong University Jinan Shandong China Institute of Robotics and Artificial Intelligent School of Information Science and Engineering Northeastern University Shenyang China

Many real natural or man-made dynamic systems can be better characterized using a fractional order dynamic model. Since in such a case the order assumes a non-integer value, it is of interest to consider the effect of small perturbation around the nominal value. It is of practical importance to analyze the influence of the order variations on the system behavior. This paper establishes an analytical method for the analysis of the sensitivity function of LTI fractional order dynamic systems with respect to the orders. The continuous dependent condition of the orders of fractional Green's function is derived, which is proved as a necessary and sufficient condition. The singularity of fractional Green's functions is discussed. Several examples are included for illustration.

关键词： Green's function methods Lyapunov method Intelligent robots Sufficient conditions Artificial intelligence Transfer functions Fractional calculus Integral equations Partial differential equations H infinity control

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Use of accelerometers for material inner defect detection

Use of accelerometers for material inner defect detection

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International Conference on Applied Electronics, AE

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center of Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.

关键词： Accelerometers Vibrations Software Conferences Distortion measurement Converters Unified modeling language

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