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Two local observables are sufficient to characterize maximally entangled states of N qubits

Physical Review A 2011年第2期83卷 022319-022319页

作者： Fengli Yan Ting Gao Eric Chitambar College of Physics Science and Information Engineering and Hebei Advanced Thin Films Laboratory Hebei Normal University Shijiazhuang 050016 China College of Mathematics and Information Science Hebei Normal University Shijiazhuang 050016 China Center for Quantum Information and Quantum Control (CQIQC) Department of Electrical and Computer Engineering and Department of Physics University of Toronto Toronto Ontario M5S 3G4 Canada

Maximally entangled states (MES) represent a valuable resource in quantum information processing. In N-qubit systems the MES are N-GHZ states [i.e., the collection of |GHZN〉=12(|00…0〉+|11…1〉)] and its local unitary (LU) equivalences. While it is well known that such states are uniquely stabilized by N commuting observables, in this article we consider the minimum number of noncommuting observables needed to characterize an N-qubit MES as the unique common eigenstate. Here, we prove, rather surprisingly, that in this general case any N-GHZ state can be uniquely stabilized by only two observables. Thus, for the task of MES certification, only two correlated measurements are required with each party observing the spin of his or her system along one of two directions.

关键词： BELL'S theorem QUANTUM theory INFORMATION processing INFORMATION theory QUANTUM communication OPTICAL communications

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Compressive System Identification of LTI and LTV ARX Models

Compressive System Identification of LTI and LTV ARX Models

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IEEE Conference on Decision and control

作者： Borhan M. Sanandaji Tyrone L. Vincent Michael B. Wakin Roland Toth Kameshwar Poolla Department of Electrical Engineering and Computer Science Colorado School of Mines Golden CO 80401 USA Delft Center for Systems and Control Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands Departments of Electrical Engineering and Computer Sciences and Mechanical Engineering University of California Berkeley CA 94720 USA

ISBN: (纸本)9781612848006

In this paper, we consider identifying Auto Regressive with eXternal input (ARX) models for both Linear Time-Invariant (LTI) and Linear Time-Variant (LTV) systems. We aim at doing the identification from the smallest possible number of observations. This is inspired by the field of Compressive Sensing (CS), and for this reason, we call this problem Compressive System Identification (CSI). In the case of LTI ARX systems, a system with a large number of inputs and unknown input delays on each channel can require a model structure with a large number of parameters, unless input delay estimation is performed. Since the complexity of input delay estimation increases exponentially in the number of inputs, this can be difficult for high dimensional systems. We show that in cases where the LTI system has possibly many inputs with different unknown delays, simultaneous ARX identification and input delay estimation is possible from few observations, even though this leaves an apparently ill-conditioned identification problem. We discuss identification guarantees and support our proposed method with simulations. We also consider identifying LTV ARX models. In particular, we consider systems with parameters that change only at a few time instants in a piecewise-constant manner where neither the change moments nor the number of changes is known a priori. The main technical novelty of our approach is in casting the identification problem as recovery of a block-sparse signal from an underdetermined set of linear equations. We suggest a random sampling approach for LTV identification, address the issue of identifiability and again support our approach with illustrative simulations.

关键词： LTI System identification delay estimation Mathematic Identifiability Model structures

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A motion-information-based vision-tracking system with a stereo camera on mobile robots

A motion-information-based vision-tracking system with a ste...

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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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sEMG based real-time embedded force control strategy for a prosthetic hand prototype

sEMG based real-time embedded force control strategy for a p...

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IEEE International Conference on Electro-Information Technology

作者： Chandrasekhar Potluri Yimesker Yihun Parmod Kumar Jeff Molitor Steve C. Chiu D. Subbaram Naidu S. Hossein Mousavinezhad Measurement and Control Engineering Research Center (MCERC) School of Engineering Idaho State University Pocatello ID USA MCERC School of Engineering Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA

This paper presents a real-time force control strategy for a prosthetic hand. The proposed design is capable of decoding the prerecorded surface electromyographic (sEMG) signal as well as the sensory force feedback from the sensors to control the force of the prosthetic hand prototype. The input sEMG signal is preprocessed using a Half-Gaussian filter with optimized parameters and Chebyshev type II filter. Entropy of the sEMG signal is used as a threshold value to establish the correlation between the sEMG signal and the skeletal muscle force. A simple proportional integral controller along with a two-stage embedded design is used for the force control of the prosthetic hand. The results are transmitted to the computer through the universal asynchronous receiver/ transmitter (UART)interface of the proposed embedded design. The results demonstrate good performance in controlling the force of the prosthetic hand.

关键词： Force Entropy Prosthetic hand Prototypes Fingers Microcontrollers Muscles

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Implementation of sEMG-Based Real-Time Embedded Adaptive Finger Force control for a Prosthetic Hand

Implementation of sEMG-Based Real-Time Embedded Adaptive Fin...

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IEEE Conference on Decision and control

作者： Chandrasekhar Potluri Madhavi Anugolu Yimesker Yihun Parmod Kumar Steve Chiu Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center (MCERC) Idaho State University Pocatello Idaho 83201 USA MCERC Idaho State University Pocatello Idaho 83201 USA MCERC College of Engineering Idaho State University Pocatello Idaho 83201 USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello Idaho 83209 USA Department of Mechanical and Nuclear Engineering MCERC Idaho State University Pocatello Idaho 83209 USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello Idaho 83201 USA

ISBN: (纸本)9781612848006

This paper presents surface electromyographic (sEMG)-based, real-time Model Reference Adaptive control (MRAC) strategy for a prosthetic hand prototype. The proposed design is capable of decoding the prerecorded sEMG signal as well as the sensory force feedback from the sensors to control the force of the prosthetic hand prototype using a PIC 32MX360F512L microcontroller. The input sEMG signal is preprocessed using a Half-Gaussian filter and fed to a fusion based Multiple Input Single Output (MISO) skeletal muscle force model. This MISO system provides the estimated finger forces to be produced as input to the prosthetic hand prototype. A simple MRAC method along with a two stage embedded design is used for the force control of the prosthetic hand. The sensed force at the fingertip is fed back to the controller for real-time operation. The data is transmitted to the computer through an universal asynchronous receiver/transmitter (UART) interface of the proposed embedded design. Results show good performance in controlling the finger force as well as shortcomings of the mechanical design of the prosthetic hand prototype to be addressed in future.

关键词： Prosthetic hand Force control model reference adaptive control Force force feedback Equipment Design Fingers Hydrologic models Embedded design

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Spectral analysis of sEMG signals to investigate skeletal muscle fatigue

Spectral analysis of sEMG signals to investigate skeletal mu...

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IEEE Conference on Decision and control

作者： Parmod Kumar Anish Sebastian Chandrasekhar Potluri Yimesker Yihun Madhavi Anugolu Jim Creelman Alex Urfer D. Subbaram Naidu Marco P. Schoen Measurement and Control Engineering Research Center (MCERC) School of Engineering Idaho State University Pocatello ID USA MCERC School of Engineering Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Mechanical Engineering MCERC Idaho State University Pocatello ID USA

ISBN: (纸本)9781612848006;9781612848013

Our recent investigations are focused to develop dynamic models for skeletal muscle force and finger angles for prosthetic hand control using surface electromyographic sEMG as input. Since sEMG is temporal and spatially distributed and is influenced by various factors, muscle fatigue and its related sEMG becomes of importance. This study is an effort to spectrally analyze the sEMG signal during progression of muscle fatigue. The sEMG is captured from the arms of healthy subjects during muscle fatiguing experiments for dynamic and static force levels. Filtered sEMG signal is segmented in five parts with 75% overlap between adjacent segments. The analysis is done using different classical (fast Fourier transform, Welch's averaged modified periodogram), model-based (Yule-Walker, Burg, Covariance and Modified Covariance autoregressive (AR) method), and eigenvector methods (Multiple Signal Classification (MUSIC) and eigenvector spectral estimation method) in frequency domain. Results show that the classical and eigenvector based methods are more sensitive than the model-based methods to fatigue related changes in sEMG signals.

关键词： Muscles Fatigue Force Multiple signal classification Dynamics Estimation Electromyography

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Effect of polymer thickness on the chemical sensing behavior of polymer-coated mass-sensitive disk resonators

Effect of polymer thickness on the chemical sensing behavior...

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IEEE International Conference on Micro Electro Mechanical Systems

作者： S. Truax K.S. Demirci L. Beardslee Y. Luzinova B. Mizaikoff A. Hierlemann O. Brand School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Texas Instrumenits Inc. Dallas TX USA Center of Disease Control and Prevention Atlanta GA USA Institute of Analytical and Bioanalytical Chemistry Ulm University Ulm Germany Department of Biosystems Science and Engineering ETH Zurich Basel Switzerland

ISBN: (纸本)9781424496327

The chemical sensing behavior of disk microresonators, as it is affected by the thickness of polymer coatings applied to them, is reported. The disk microresonators were fabricated using a CMOS-compatible silicon bulk micro machining process. The disks were subsequently coated with layers of (poly) isobutylene (PIB) as a sensing film and exposed to gaseous benzene, toluene, and m-xylene. The experimental results agree well with analytical models derived for both the chemical sensitivity and limit of detection (LOD). Minimal LODs measured for benzene, toluene, and m-xylene were 5.3 ppm, 1.2 ppm, and 0.6 ppm, respectively.

关键词： Polymers Resonant frequency Chemicals Sensitivity Sensors Heating Chemical sensors

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An application of fractional intelligent robust controller for electromechanical valve

An application of fractional intelligent robust controller f...

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World Congress on Information and Communication Technologies (WICT)

作者： Tribeni Prasad Banerjee Suman Saha Swagatam Das Ajith Abraham Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata India Drives and Control System Laboratory CSIR-Central Mechanical Engineering Research Institute Durgapur West Bengal India IT For Innovations EU Center of excellence Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Czech Republic Scientific Network for Innovation and Research Excellence Machine Intelligence Research Laboratories-MIR Laboratories WA USA

The paper analyzed and model of a fault tolerant electromechanical controlled worm gear driven fuel shut off valve for aerospace application. The analysis is mainly on design a reduced order fractional controller. This is for controlling the velocity of worm gear so that the friction torque due to uneven rotational speed can be avoided. Because with the friction and stiction and backlash the valve system performance is reduced and more and more unstable this leads the system to failure. The proposed controller can provide robustness against the uncertain loading torque and system parameter.

关键词： Valves Gears Equations control systems Robustness Mathematical model Torque

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Development of bar code scanner application for windows mobile devices using a symbol mobility developer kit for .NET compact framework

Development of bar code scanner application for windows mobi...

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2010 2nd International Conference on Mechanical and Electronics engineering, ICMEE 2010

作者： Krejcar, Ondrej Macecek, Marcel Department of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science 17. Listopadu 15 70833 Ostrava-Poruba Czech Republic

ISBN: (纸本)9781424474806

The problem we would like to discuss and solve is based on a remote controlling of created packages containing predefined components with a predefined numbers of these components. In principle the problem acts as a check out control problem. By the help of mobile device with integrated bar code scanner an application for such mobile device can be developed as a remote client of server, which contains a database with predefined properties, numbers of packages, etc. A web services and mobile client application was created using a Microsoft Visual Studio 2008. © 2010 IEEE.

关键词： Bar codes

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Traffic state variables estimating and predicting with neural network via extended Kalman filter algorithm with estimated parameters as offline

Traffic state variables estimating and predicting with neura...

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8th IEEE International Symposium on Intelligent Systems and Informatics, SIISY 2010

作者： Abdi, J. Moshiri, B. Jafari, E. Khaki Sedigh, A. Department of Electrical and Computer Engineering Islamic Azad University Science and Research Branch Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Electrical Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781424473946

Developing mathematical models and estimating their parameters are fundamental issues for studying dynamic behaviors of traffic systems. METANET model is one of the most applicable models in traffic modeling in which the parameters have plenty of effects on the model behavior. In this paper, the effects of the model parameters on the model behavior and the estimation quality of the system states in the undetermined parameters are described. The extended Kalman filtering (EKF) algorithm instead of the error back-propagation (BP) algorithm is used to train artificial neural networks (ANNs) for dynamical traffic networks modeling. The basic idea is to prevent over fitting discrepancy occurrence caused by outliers in the training samples by the EKF. Numerical simulations show that the EKF algorithm is greater to the BP algorithm. ©2010 IEEE.

关键词： Neural networks

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