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作者： Zhou, Bin Lin, Zongli Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin Heilongjiang 150001 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 United States

ISBN: (纸本)9787894631046

This paper studies the problem of stabilization of discrete-time linear systems with input time-delay and actuator saturation. By exploring some further intricate properties of a recently developed parametric Lyapunov equation based low gain feedback design approach, an alternative approach is proposed to solving the problem by both state feedback and output feedback. This new approach is not only simpler than the methods that are based on the eigenstructure assignment technique, but also provides explicit conditions on value of the low gain parameter to guarantee the stability of the closed-loop system. Furthermore, the delay in the input is allowed to be time-varying in some cases.

关键词： Stabilization

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Proactive user adaptive system for windows mobile devices - processing of sound input signal for sleep state detection

Proactive user adaptive system for windows mobile devices - ...

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International Conference on Mechanical and Electronics engineering (ICMEE)

作者： Ondrej Krejcar Jakub Jirka Dalibor Janckulik Department of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Measurement and Control Faculty of Electrical Engineering and Computer Science Technical University of Ostrava Ostrava Czech Republic

Proactive principle can be used not only in large distributed solution for medical centers, but it can be found usable in a many other solutions. One of them we found in an application to allow for people have a happy wake up. A mobile device application was developed to solve a problem of bad wake up at morning for all the people. Sleep is a complex process regulated with our brain and as such is driven by 24 hour biological rhythm. Our biological clocks are controlled by chemical substances that are mostly known to us. wakeNsmile application is developed to react on users declared request in form of happy wake up at predefined time (Fig. 1). The time defined for alarm is however the latest possible time to wake up of user. We are trying to detect a body state in which the user is most able to wake up with a smile. Time period for detection analysis of state phases is declared to 30 minutes. A Fast Fourier Transformation (FFT) and some other sophisticated methods are used for it.

关键词： Mobile communication Europe Artificial neural networks Blood Muscles

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Optimal entanglement transformations among N-qubit W-class states

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Physical Review A 2010年第6期82卷 062314-062314页

作者： Wei Cui Eric Chitambar Hoi-Kwong Lo []Center for Quantum Information and Quantum Control （CQIQC） Department of Physics and Department of Electrical & Computer Engineering University of Toronto Toronto Ontario M5S 3G4 Canada

We investigate the physically allowed probabilities for transforming one N-partite W-class state to another by means of local operations assisted with classical communication. Recently, S. Kintaş and S. Turgut [J. Math. Phys. 51, 092202 (2010)] obtained an upper bound for the maximum probability of transforming two such states. Here, we provide a simple sufficient and necessary condition for when this upper bound can be satisfied and, thus, when optimality of state transformation can be achieved. Our discussion involves obtaining lower bounds for the transformation of arbitrary W-class states and showing precisely when this bound saturates the bound of Kintaş and Turgut. Finally, we consider the question of transforming symmetric W-class states and find that, in general, the optimal one-shot procedure for converting two symmetric states requires a nonsymmetric filter by all the parties.

关键词： Quantum entanglement

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Notice of Retraction: Remote access of Building Management System on windows mobile devices

Notice of Retraction: Remote access of Building Management S...

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International Conference on Networking and Information Technology (ICNIT)

作者： Ondrej Krejcar Jindrich Horkem 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 Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic

This article has been retracted by the publisher.

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Evaluation and testing of RT-Java parameters on aJile aJ-80 real time embedded platform

Evaluation and testing of RT-Java parameters on aJile aJ-80 ...

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International Conference on Networking and Information Technology (ICNIT)

作者： Ondrej Krejcar Ondrej Adamec 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 Measurement and Control Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424475797;9781424475773;9781424475780

The purpose of this work is the implementation of the program code that enables digital filtration on aJ-80 embedded JAVA processor. While working the implementation filter we need to provide the fastest calculation with the greatest accuracy. Next, it is almost always necessary for the results to be available after the same time from the sample upload. These matters determine the digital filtration as a problem called RT, which is the problem suitable for testing of the processor aJ-80 and its RT features. The work also describes the chosen task example, which examines RT features of this processor. We also mention the attained results and their evaluation. Based on the evaluation, the performance of the hardware program of the processor aJ-80 is very effective. In this respect, the product is recommended to use in many hard RT areas.

关键词： Testing Java Filtration Finite impulse response filter computer languages Hardware Microprocessors Electric variables measurement computer science Embedded system

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Spectral clustering approach with sparsifying technique for functional connectivity detection in the resting brain

Spectral clustering approach with sparsifying technique for ...

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2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010

作者： Ramezani, Mahdi Heidari, Amin Fatemizadeh, Emad Soltanian-Zadeh, Hamid Biomedical Signal and Image Processing Laboratory Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781424466238

The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquired from a resting healthy subject to find functionally connected brain regions. In order to make computation of the spectral decompositions of the entire brain volume feasible, the similarity matrix has been sparsified with the t-nearestneighbor approach. Realistic data were created to investigate the performance of the proposed algorithm and comparing it to the recently proposed spectral clustering algorithm with the Nystrom approximation and also with some well-known algorithms such as the Cross Correlation Analysis (CCA) and the spatial Independent Component Analysis (sICA). To enhance the performance of the methods, a variety of data pre and post processing steps, including data normalization, outlier removal, dimensionality reduction by using wavelet coefficients, estimation of number of clusters and optimal number of independent components (ICs). Results demonstrate the applicability of the proposed algorithm for functional connectivity analysis.

关键词： Brain

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Risk assessment of coronary arteries heart disease based on neuro-fuzzy classifiers

Risk assessment of coronary arteries heart disease based on ...

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Iranian Conference of Biomedical engineering (ICBME)

作者： Mohammad Danesh Zand Amir Hossein Ansari Caro Lucas Reza Aghaee Zade Zoroofi Department of Electrical & Computer Engineering University of Tehran Tehran Iran Control & Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Coronary artery heart disease is one of the main reasons of death in under development countries such as Iran. Based on vagueness in data and uncertainty in decision making finding an optimal way for diagnosis would be helpful. The main goal of this article is to change the linguistic terms which doctors use for representing coronary heart disease possibility into classified stages. Indeed the medical diagnosis can be used as an issue of pattern recognition by an input vector of features introduced to a system so the corresponding risk of a particular disease can be estimated with this system. In this paper we used an adaptive network-based inference system in order to assess the risk of coronary artery heart diseases .With this point of view that fault in medical diagnosis are more errors of omission than of commission, we are going to reduce this diagnosis defect with Neuro-fuzzy networks such as Multi-Layer Perceptron (MLP) and an inference Neuro-fuzzy network such as ANFIS. In the last section we will compare these methods to show that ANFIS can obtain the best accommodation with doctor's opinions.

关键词： Diseases Heart Hardware design languages

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ℒ2-induced gain analysis of switched linear systems via finitely parametrized storage functions

ℒ2-induced gain analysis of switched linear systems via fin...

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American control Conference (ACC)

作者： Kenji Hirata João P. Hespanha Department of Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Center of Control Dynamical Systems and Computation and the Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

This paper addresses the computation of the ℒ 2 -induced gain for switched linear systems. The main contribution of the paper is to completely characterize the induced gain of a switched system though a differential inequalities on a finitely parametrized common storage function, one equation for each system being switched. The motivation for computing the induced gain of a switched system is the application of robust stability tools to the analysis of hybrid systems.

关键词： Switched systems Linear systems Asymptotic stability control systems Difference equations Sufficient conditions Riccati equations Water storage Gain Differential equations

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ℒ2-induced gains of switched systems and classes of switching signals

ℒ2-induced gains of switched systems and classes of switchi...

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IEEE Conference on Decision and control

This paper addresses the ℒ 2 -induced gain analysis for switched linear systems. We exploit non-conservative necessary and sufficient conditions for the induced gain to lie below a prescribed positive constant and discuss on the induced gains of switched systems obtained for different classes of switching signals, which distinct regularity assumptions are placed on. We particularly show that the induced gain that is obtained for the class of every piecewise constant switching signal can also be attained by the more restricted classes of switching signals.

关键词： Switches Switched systems Asymptotic stability Linear systems Stability criteria Gain

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Fault adaptive control of Overactuated systems using prognostic estimation

Fault adaptive control of Overactuated systems using prognos...

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Annual Conference of the Prognostics and Health Management Society, PHM 2010

作者： Bole, Brian M. Brown, Douglas W. Pei, Hai-Long Goebel, Kai Tang, Liang Vachtsevanos, George Department of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States Department of Automation at South China University of Technology Guagzhou510640 China NASA Ames Research Center Moffett FieldCA94035 United States Impact Technologies LLC RochesterNY14623 United States

ISBN: (纸本)9781936263011

Most fault adaptive control research addresses the preservation of system stability or functionality in the presence of a specific failure (fault). This paper examines the fault adaptive control problem for a generic class of incipient failure modes, which do not initially affect system stability, but will eventually cause a catastrophic failure to occur. This risk of catastrophic failure due a component fault mode is some monotonically increasing function of the load on the component. Assuming that a probabilistic 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 deviation from nominal performance. Development of the methodology to handle a general class of overactuated systems is given. Also, the fault adaptive control methodology is demonstrated on an application example of practical significance, an electro-mechanical actuator (EMA) consisting of three DC motors geared to the same output shaft. Similar actuator systems are commonly used in aerospace, transportation, and industrial processes to actuate critical loads, such as aircraft control surfaces. The fault mode simulated in the system is a temperature dependent motor winding insulation degradation.

关键词： Electromechanical actuators

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