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3rd International Symposium on Communications, control, and Signal Processing (ISCCSP 2008), vol.3

作者： Andrea Gavlasova Ales Prochazka Jaroslav Pozivil Oldrich Vysata Department of Computing and Control Engineering Institute of Chemical Technology in Prague Prague Czech Republic Neurocenter Caregroup Rychnov nad Kneznou Czech Republic

Image segmentation, feature extraction and image components classification form a fundamental problem in many applications of multi-dimensional signal processing. The paper is devoted to the use of watershed transform for image segmentation in connection with wavelet transform allowing image de-noising and image components feature extraction. Proposed methods are applied for biomedical image analysis and processing. The study of MR image segmentation devoted to the detection of its specific components results in the proposal of the appropriate image preprocessing to reduce problems of its oversegmentation. Resulting algorithms include the use of wavelet transform and gradient methods in the preprocessing stage. Proposed algorithms are verified for simulated images and applied for a selected MR biomedical images containing different structures.

关键词： Image de-noising Image segmentation Watershed transform Distance transform Discrete wavelet transform Image classification Feature based segmentation Biomedical image processing

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STSLib and its application to two benchmarks

STSLib and its application to two benchmarks

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International Workshop on Discrete Event Systems, WODES

作者： Chuan Ma W. M. Wonham Department of Computing and SoftwareInformation Technology Building McMaster University Hamilton ONT Canada Systems Control Group Department of Electrical and Computer Engineering University of Toronto ONT Canada

State tree structures (STS) are an adaptation of statecharts to supervisory control theory. STSLib is a C++ library that we have developed to support the symbolic analysis and synthesis of STS. This paper presents a short introduction to the library, and then applies the library to two benchmarks: (1) cat and mouse tower (CMT), (2) dining philosophers (DP). We demonstrate that STSLib can design optimal nonblocking supervisors for systems of state size up to 10 626 , and the resulting controllers are tractable and readily comprehensible.

关键词： Discrete event systems Conferences

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Possible adaptive control by tangent hyperbolic fixed point transformations used for controlling the Φ6-Type Van der Pol Oscillator

Possible adaptive control by tangent hyperbolic fixed point ...

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ICCC 2008 - IEEE 6th International Conference on Computational Cybernetics

作者： Tar, József K. Bitó, János F. Rudas, Imre J. Kozlowski, Krzysztof R. Tenreiro Machado, José A. Budapest Tech John Von Neumann Faculty of Informatics Inst. of Intelligent Engineering Systems Bécsi út 96/B Budapest H-1034 Hungary Poznan University of Technology Computing Science and Management Chair of Control and Systems Engineering ul. Piotrowo 3a 60-965 Poznan Poland Institute of Engineering of Porto Department of Electrotechnical Engineering Rua Dr. Antonio Bernardino de Almeida 4200-072 Porto Portugal

ISBN: (纸本)9781424428755

In this paper a further step towards a novel approach to adaptive nonlinear control developed at Budapest Tech in the past few years is reported. Its main advantage in comparison with the complicated Lyapunov function based techniques is that its fundament is some simple geometric consideration allowing to formulate the control task as a Fixed Point Problem for the solution of which various Contractive Mappings can be created that generate Iterative Cauchy Sequences for Single Input - Single Output (SISO) systems. These sequences can converge to the fixed points that are the solutions of the control tasks. Recently alternative potential solutions were proposed and sketched by the use of special functions built up of the "response function" of the excited system under control. These functions have almost constant values apart from a finite region in which they have a "wrinkle" in the vicinity of the desired solution that is the "proper" fixed point of these functions. It was shown that at one of their sides these fixed points were repulsive, while at the opposite side they were attractive. It was shown, too, that at the repulsive side another, so called "false" fixed points were present that were globally attractive, with the exception of the basins of attraction of the "proper" ones. This structure seemed to be advantageous because no divergences could occur in the iterations, the convergence to the "false" values could easily be detected, and by using some ancillary tricks in the most of the cases the solutions could be kicked from the wrong fixed points into the basins of attraction of the "proper ones". It was expected that via adding simple rules to the application of these transformations good adaptive control can be developed. However, due to certain specialties of these functions practical problems arose. In the present paper novel transformations are presented that seem to evade these difficulties. Their applicability is illustrated via simulations in the ad

关键词： Lyapunov functions

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An Application of Convex Optimization Concepts to Approximate Dynamic Programming

An Application of Convex Optimization Concepts to Approximat...

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2008 American control Conference (ACC), vol.10

作者： Edilson F. Arruda Marcelo D. Fragoso Joao Bosco R. do Val Department of Systems And Control National Laboratory for Scientific Computing Petropolis Rio de Janeiro Brazil Department of Telematics School of Electrical and Computer Engineering State University of Campinas Sao Paulo Brazil

This paper deals with approximate value iteration (AVI) algorithms applied to discounted dynamic (DP) programming problems. The so-called Bellman residual is shown to be convex in the Banach space of candidate solutions to the DP problem. This fact motivates the introduction of an AVI algorithm with local search that seeks an approximate solution in a lower dimensional space called approximation architecture. The optimality of a point in the approximation architecture is characterized by means of convex optimization concepts and necessary and sufficient conditions to global optimality are derived. To illustrate the method, two examples are presented which were previously explored in the literature.

关键词： Dynamic programming Function approximation Approximation algorithms Sufficient conditions Stochastic processes Large-scale systems Heuristic algorithms Robustness Convergence Computer architecture

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An Effective and Robust Pedestrians Detecting Algorithm & Symposia

An Effective and Robust Pedestrians Detecting Algorithm & Sy...

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International Conference on Intelligent Transportation

作者： Zhipeng Li Yun Sun Fuqiang Liu Wenhuan Shi Key Laboratory of Embedded System and Service Computing supported by Ministry of Education University of Tongji Shanghai China School of Electronics and Information Engineering University of Tongji Shanghai China Department of Control Science and Technology Shanghai Jiaotong University Shanghai China

In this paper, we present a pedestrian detection approach using spatial histograms of oriented gradients feature. As spatial histograms of oriented gradients consist of marginal distributions of an image over local and global patches, they can preserve shape and contour of a pedestrian simultaneously. There are two main contributions in this paper. First of all, we expand the histograms of oriented gradients features from single-size to variable-size which can capture local and global feature of pedestrian automatically. We call theses feature as the "spatial histograms of oriented gradients". Secondly, we employ histogram similarity and Fisher criterion to measure discriminability of features and select some discriminative features to identify the pedestrian. SVM classifier is constructed to train the selected features from target and surrounding background. The proposed algorithm is tested on some public database. Experimental results show that the proposed approach is efficient and rapid in pedestrian detection.

关键词： Robustness Conferences Histograms Support vector machines Shape Intelligent transportation systems Sun Support vector machine classification Computer vision Image edge detection

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Global robust synchronization of the Duffing system and Van der Pol oscillator

Global robust synchronization of the Duffing system and Van ...

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IEEE Conference on Decision and control

作者： Weijie Sun Daizhan Cheng Jie Huang College of Automation Science and Engineering South China University of Technology Guangzhou China Institute of Mathematics and System Science Chinese Academy and Sciences Beijing China Laboratory of Applied Control and Computing Department of Mechanical and Automation Engineering Chinese University of Hong Kong New Territories Hong Kong China

In this paper, we study the global robust synchronization problem of the controlled Duffing system and the Van der Pol oscillator. By employing the internal model approach, we first show that the problem can be converted into a global robust stabilization problem of a time-varying nonlinear system in lower triangular form. Then we show that the global stabilization problem of the lower triangular system is solvable, thus leading to the solution of the global robust synchronization problem.

关键词： Robustness Oscillators control systems Robust control Time varying systems Nonlinear systems Partial differential equations Automatic control Sun Output feedback

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Wavelet Transform Use for Feature Extraction and EEG Signal Segments Classification

Wavelet Transform Use for Feature Extraction and EEG Signal ...

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3rd International Symposium on Communications, control, and Signal Processing (ISCCSP 2008), vol.2

作者： Ales Prochazka Jaromir Kukal Oldrich Vysata Department of Computing and Control Engineering Institute of Chemical Technology in Prague Prague Czech Republic Neurocenter Caregroup Rychnov nad Kneznou Czech Republic

Segmentation, feature extraction and classification of signal components belong to very common problems in various engineering, economical and biomedical applications. The paper is devoted to the use of discrete wavelet transform (DWT) both for signal preprocessing and signal segments feature extraction as an alternative to the commonly used discrete Fourier transform (DFT). Feature vectors belonging to separate signal segments are then classified by a competitive neural network as one of methods of cluster analysis and processing. The paper provides a comparison of classification results using different methods of feature extraction most appropriate for EEG signal components detection. Problems of multichannel segmentation are mentioned in this connection as well.

关键词： Segmentation Change-point detection Feature extraction Classification Multichannel signal processing Discrete wavelet transform Neural networks

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Chaotic behavior of new experimental data of the LTGP (2004-2006) confirm possible relation to seismic activity in Western Greece

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Journal of Physics: Conference Series 2008年第1期96卷

作者： Giannakopoulos, K. Ifantis, A. Electronics Laboratory Department of Physics University of Patras Patras 26500 Greece Digital Systems and Media Computing Laboratory Faculty of Sciences and Technology Hellenic Open University Patras 26222 Greece Control Systems and Signals Laboratory Department of Electrical Engineering Technological Educational Institute of Patras Patras 26334 Greece Seismological Laboratory Department of Geology University of Patras Patras 26500 Greece

Observations of the long-term geoelectric potential (LTGP) difference are presented in this paper. The data have been collected during a three-year (2004-2006) investigating period. Moreover, this paper constitutes a continuation of two previously published works with eleven-year (1993-2003) experimental data. For data logging purposes, an automatic system for collection, transfer and processing of geoelectric measurements operates at the Seismological Laboratory of the University of Patras. The analysis of these data using Lyapunov exponents and Takens estimator confirm their quite chaotic behavior. The Lyapunov exponents have also been calculated for short periods of twenty days, i.e. ten days before and ten days after the earthquakes occurred during this three-year period. By thorough examination of the resulting Lyapunov spectrums, it seems that these are subject to possible changes prior to an earthquake. © 2008 IOP Publishing Ltd.

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Kinematic simulative analysis of virtual potential field method for AUV trajectory planning

Kinematic simulative analysis of virtual potential field met...

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2007 Mediterranean Conference on control and Automation, MED

作者： Barisic, M. Vukic, Z. Miskovic, N. University of Zagreb Faculty of Electrical Engineering and Computing Department of Computer and Control Engineering Zagreb Croatia

ISBN: (纸本)142441282X

This paper deals with an analysis of applicability, capabilities, benefits and pitfalls of using a virtual potential field approach to autonomously planning trajectories in non-communicating autonomous underwater vehicles (AUV-s). Virtual potentials represent an approach to this problem with cross-layer design features. Examples of different layers of control that can be achieved with the same fundamental approach are: obstacle-avoidance, energy-optimal trajectories, forming up with other moving agents, controlled formation fragmentation into well-posed sub-formation etc. This paper shows, on the basis of extensive simulated experiments, that such a trajectory planner based on virtual potentials, guarantees good extendibility, scalability and performance in a hard-real-time hardware-in-the-loop system. ©2007 IEEE.

关键词： Trajectories

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Transfer function identification by using self-oscillations

Transfer function identification by using self-oscillations

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2007 Mediterranean Conference on control and Automation, MED

作者： Miškovic, N. Vukic, Z. Barišic, M. University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering Zagreb Croatia

ISBN: (纸本)142441282X

The work presented in this paper deals with the process of transfer function identification by using self-oscillation method (autotuning identification method). The algorithm is given in a general matrix form and some modifications are introduced. The modifications of the algorithm include augmentation of the initial algorithm for Type k systems, systems with delays and discrete-time systems. The paper also includes simulation examples which describe the introduced modifications. Apart from being rather simple, this method is applicable to real systems. Its greatest advantage is quick identification of a transfer function (depends on the system). ©2007 IEEE.

关键词： Transfer functions

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