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2009 10th European control Conference, ECC 2009

作者： Garcia-Alvarez, D. Fuente, M.J. Vega, P. Department of Systems Engineering and Automatic Control University of Valladolid Valladolid47011 Spain Department of Computer Science and Control University of Salamanca ETSII Bejar Salamanca37700 Spain

ISBN: (纸本)9783952417393

In this paper Principal Components Analysis (PCA) is used for detecting faults in a plant with multiple operation modes. PCA reduces the dimensionality of the original historical data by projecting it onto a lower dimensionality space. It obtains the principal causes of variability in a process. If some of these causes change, it can be due to a fault in the process. The classical PCA approach confuses changes in operation mode with faults. This paper deals with this problem using a switching structure to deal with different operation modes. The transitory states between the operation modes are dealt with using a PCA approach used in batch processes. The implemented method has been proved in a simulated two-communicated-tanks plant. © 2009 EUCA.

关键词： Principal component analysis

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Fault detection and diagnosis using multivariate statistical techniques in a wastewater treatment plant

Fault detection and diagnosis using multivariate statistical...

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作者： Garcia-Alvarez, D. Fuente, M.J. Vega, P. Sainz, G. Department of Systems Engineering and Automatic Control University of Valladolid 47011 Valladolid Spain Department of Computer Science and Control University of Salamanca ETSII 37700 Bejar Salamanca Spain

ISBN: (纸本)9783902661548

In this paper Principal Components Analysis (PCA) is used for detecting faults in a simulated wastewater treatment plant (WWTP). Diagnosis tasks are treated using Fisher discriminant analysis (FDA). Both techniques are multivariate statistical techniques used in multivariate statistical process control (MSPC) and fault detection and isolation (FDI) perspectives. PCA reduces the dimensionality of the original historical data by projecting it onto a lower dimensionality space. It obtains the principal causes of variability in a process. If some of these causes change, it can be due to a fault in the process. FDA provides an optimal lower dimensional representation in terms of a discriminant between classes of data, where, in this context of fault diagnosis, each class corresponds to data collected during a specific and known fault. A discriminant function is applied to diagnose faults using data collected from the plant.

关键词： Statistical process control

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Global distribution of HTTP requests using the fuzzy-neural decision-making mechanism

Global distribution of HTTP requests using the fuzzy-neural ...

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1st International Conference on Computational Collective Intelligence, ICCCI 2009

作者： Borzemski, Leszek Zatwarnicka, Anna Zatwarnicki, Krzysztof Institute of Informatics Wroclaw University of Technology Wroclaw Poland Faculty of Electrical Engineering Institute of Automatic Control and Computer Science Opole University of Technology Opole Poland

ISBN: (纸本)3642044409

This paper presents the HTTP request global distribution using the fuzzy-neural decision making mechanism. Two efficient algorithms GARDiB and GARDiB2 are proposed to support HTTP request routing to the Websites. The algorithms use the fuzzy-neural decision-making method to assign each incoming request to the Website with the least expected response time. The response time includes the transmission time over the network;as well as the time elapsed on the responding Website server. Simulation experiments showed that GARDiB performed slightly better than GARDiB2 and both proposed algorithms outperformed other competitive distribution algorithms in all simulated workload scenarios. © 2009 Springer Berlin Heidelberg.

关键词： Decision making

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A new Neuro-Fuzzy method for direct adaptive control of unknown nonlinear systems with robustness analysis 10

A new Neuro-Fuzzy method for direct adaptive control of unkn...

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2009 10th European control Conference, ECC 2009

作者： Boutalis, Yiannis Christodoulou, Manolis Theodoridis, Dimitris Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi67100 GR Greece Department of Electrical Electronic and Communication Engineering Department of Automatic Control University of Erlangen-Nuremberg Germany Department of Electronic and Computer Engineering Technical University of Crete Chania73100 GR Greece

ISBN: (纸本)9783952417393

The direct adaptive regulation of affine in the control nonlinear square (system states equals to control inputs) dynamical systems with modeling error effects, is considered in this paper. The method is based on a new Neuro-Fuzzy Dynamical System definition, which uses the concept of Fuzzy Dynamical Systems (FDS) operating in conjunction with High Order Neural Network Functions, which in the sequel approximate the fuzzy rules. This way the unknown plant is modeled by a fuzzy-recurrent high order neural network (F-RHONN), which is of known structure considering the neglected nonlinearities. The development is combined with a sensitivity analysis of the closed loop in the presence of modeling imperfections and provides a comprehensive and rigorous analysis of the stability properties of the closed loop system. The existence and boundness of the control signal is always assured by introducing a novel method of parameter hopping and incorporating it in weight updating law. Simulations illustrate the potency of the method and its applicability is tested on well known benchmarks where it is shown that our approach is superior to the case of simple RHONN's. © 2009 EUCA.

关键词： Closed loop systems

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Application of Ada language in a Real-Time Database System - A perspective

Application of Ada language in a Real-Time Database System -...

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9th IFAC Workshop on Programmable Devices and Embedded Systems, PDES 2009

作者： Moryc, Pavel Černohorský, Jindřich Department of Measurement and Control Faculty of Electrical Engineering and Computer Science Technical University of Ostrava Ostrava Czech Republic

This paper outlines further research possibilities in the field of Real-Time Database Systems. It is based on the previous research accomplished at the Technical University of Ostrava, including the V4DB Real-Time Dat... 详细信息

ISBN: (纸本)9783902661418

关键词： Real time systems

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Direct adaptive regulation and robustness analysis for systems in Brunovsky form using a new Neuro-Fuzzy method 10

Direct adaptive regulation and robustness analysis for syste...

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2009 10th European control Conference, ECC 2009

作者： Theodoridis, Dimitris Boutalis, Yiannis Christodoulou, Manolis Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi67100 GR Greece Department of Electrical Electronic and Communication Engineering Automatic Control University of Erlangen-Nuremberg Erlangen91058 Germany Department of Electronic and Computer Engineering Technical University of Crete Chania73100 GR Greece

ISBN: (纸本)9783952417393

The direct adaptive regulation of unknown nonlinear dynamical systems in Brunovsky form with modeling error effects, is considered in this paper. The method is based on a new Neuro-Fuzzy Dynamical System definition, which uses the concept of Fuzzy Adaptive Systems (FAS) operating in conjunction with High Order Neural Network Functions (HONNFs). Since the plant is considered unknown, we propose its approximation by a special form of a Brunovsky type fuzzy dynamical system (FDS) assuming also the existence of disturbance expressed as modeling error terms depending on both input and system states. The development is combined with a sensitivity analysis of the closed loop in the presence of modeling imperfections and provides a comprehensive and rigorous analysis of the stability properties of the closed loop system. Simulations illustrate the potency of the method and its applicability is tested on the well known benchmark 'Inverted Pendulum', where it is shown that our approach is superior to the case of simple Recurrent High Order Neural Networks (RHONNs). © 2009 EUCA.

关键词： Nonlinear dynamical systems

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A new neuro-fuzzy dynamical system definition based on High Order Neural Network Function approximators 10

A new neuro-fuzzy dynamical system definition based on High ...

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2009 10th European control Conference, ECC 2009

ISBN: (纸本)9783952417393

A new definition of Adaptive Neuro - Fuzzy Systems is presented in this paper for the identification of unknown nonlinear dynamical systems. The proposed scheme uses the concept of Adaptive Fuzzy Systems (AFS) operating in conjunction with High Order Neural Network Functions. Since the plant is considered unknown, we first propose its approximation by a special form of an adaptive fuzzy system and in the sequel the fuzzy rules are approximated by appropriate HONNFs. Thus the identification scheme leads up to a Fuzzy-Recurrent High Order Neural Network (F-RHONN), which takes into account the fuzzy output partitions of the initial AFS. The proposed scheme does not require a-priori expert's information on the number and type of input variable membership functions making it less vulnerable to initial design assumptions. Weight updating laws for the involved HONNFs are provided, which guarantee that the identification error reaches zero exponentially fast. Simulations illustrate the potency of the method and comparisons with well known benchmarks are given. © 2009 EUCA.

关键词： Nonlinear dynamical systems

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A multi-plane approach for text segmentation of complex document images

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Pattern Recognition 2009年第7期42卷 1419-1444页

作者： Chen, Yen-Lin Wu, Bing-Fei Department of Computer Science and Information Engineering Asia University 500 Liufeng Road Wufeng Taichung 41354 Taiwan Department of Electrical and Control Engineering National Chiao Tung University 1001 Ta-Hsueh Road Hsinchu 30010 Taiwan

This study presents a new method, namely the multi-plane segmentation approach, for segmenting and extracting textual objects from various real-life complex document images. The proposed multi-plane segmentation approach first decomposes the document image into distinct object planes to extract and separate homogeneous objects including textual regions of interest, non-text objects such as graphics and pictures, and background textures. This process consists of two stages-localized histogram multilevel thresholding and multi-plane region matching and assembling. Then a text extraction procedure is applied on the resultant planes to detect and extract textual objects with different characteristics in the respective planes. The proposed approach processes document images regionally and adaptively according to their respective local features. Hence detailed characteristics of the extracted textual objects, particularly small characters with thin strokes, as well as gradational illuminations of characters, can be well-preserved. Moreover, this way also allows background objects with uneven, gradational, and sharp variations in contrast, illumination, and texture to be handled easily and well. Experimental results on real-life complex document images demonstrate that the proposed approach is effective in extracting textual objects with various illuminations, sizes, and font styles from various types of complex document images. © 2008 Elsevier Ltd. All rights reserved.

关键词： Image segmentation

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The indoor SLAM using multiple three dimension sensors integration

The indoor SLAM using multiple three dimension sensors integ...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Chanin Joochim Hubert Roth Department of Electrical Engineering and Computer Science Institute of Automatic Control Engineering University of Siegen Germany

The high performance mobile robots nowadays should operate themselves in many applications. One attractive task is to build the map, meanwhile estimate their poses for the locomotion in real time. The simultaneous localization and mapping (SLAM) technique is once technique which can solve this demand. The selecting sensors are essential factors for generation the high accuracy output. This paper present, the applying a new 3D sensor namely the photonic mixer devices (PMD) provides a real-time capturing of surrounding volume. However the output of PMD is very excellent depth metric, to recognize the complex objects is still faultily because of the low resolution output (64 × 48 pixels). The 2D high resolution camera inspires to compensate the PMD camera's drawback. The high resolution image output is registered on the 3D volume. The visual input from the 2D camera does not delivers only high resolution texture data on 3D volume but it is also used for object recognition. Finally, the iterative closest point (ICP) algorithm is used for the image registration in order to yield the real time 3D data frames registration.

关键词： Simultaneous localization and mapping Cameras Robot vision systems Mobile robots Iterative closest point algorithm Application software automatic control Image registration Intelligent robots Sensor phenomena and characterization

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Passive decoy-state quantum key distribution with practical light sources

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Physical Review A 2010年第2期81卷 022310-022310页

作者： Marcos Curty Xiongfeng Ma Bing Qi Tobias Moroder ETSI Telecomunicación Department of Signal Theory and Communications University of Vigo Campus Universitario E-36310 Vigo (Pontevedra) Spain Institute for Quantum Computing & Department of Physics and Astronomy University of Waterloo N2L 3G1 Waterloo Ontario Canada Center for Quantum Information and Quantum Control Department of Physics and Department of Electrical & Computer Engineering University of Toronto M5S 3G4 Toronto Ontario Canada Quantum Information Theory Group Institute of Theoretical Physics I University of Erlangen-Nürnberg D-91058 Erlangen Germany Max Planck Institute for the Science of Light D-91058 Erlangen Germany

Decoy states have been proven to be a very useful method for significantly enhancing the performance of quantum key distribution systems with practical light sources. Although active modulation of the intensity of the laser pulses is an effective way of preparing decoy states in principle, in practice passive preparation might be desirable in some scenarios. Typical passive schemes involve parametric down-conversion. More recently, it has been shown that phase-randomized weak coherent pulses (WCP) can also be used for the same purpose [M. Curty et al., Opt. Lett. 34, 3238 (2009).] This proposal requires only linear optics together with a simple threshold photon detector, which shows the practical feasibility of the method. Most importantly, the resulting secret key rate is comparable to the one delivered by an active decoy-state setup with an infinite number of decoy settings. In this article we extend these results, now showing specifically the analysis for other practical scenarios with different light sources and photodetectors. In particular, we consider sources emitting thermal states, phase-randomized WCP, and strong coherent light in combination with several types of photodetectors, like, for instance, threshold photon detectors, photon number resolving detectors, and classical photodetectors. Our analysis includes as well the effect that detection inefficiencies and noise in the form of dark counts shown by current threshold detectors might have on the final secret key rate. Moreover, we provide estimations on the effects that statistical fluctuations due to a finite data size can have in practical implementations.

关键词： Photodetectors

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