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Feedback Linearization with Sliding Mode control of Current and Arc Length in GMA W Systems

IFAC Proceedings Volumes 2003年第11期36卷 541-545页

作者： Hassan Ebrahimirad Mahdi Jalili Kharaajoo M.J. Yazdanpanah Batool Labibi Control & Intelligent processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran IRAN K.N. Toosi University of Technology Tehran Iran

In this paper a model based nonlinear controller for a Gas Metal Arc Welding (GMAW) system is designed. The controller uses nonlinear state feedback to exactly linearize and decouple the GMAW system. The linearized system is then controlled using model reference sliding mode controllers. The effect of parameter uncertainty over the closed loop system performance is investigated and simulation results show the effectiveness of the proposed controller.

关键词： Nonlinear control feedback linearization model reference sliding mode control Gas Metal Arc Welding system

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Entropy vector median filter

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1st Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2003

作者： Lukac, Rastislav Smolka, Bogdan Plataniotis, Konstantinos N. Venetsanopoulos, Anastasios N. Slovak Image Processing Center Jarkova 343 Dobsina049 25 Slovakia Department of Automatic Control Silesian University of Technology Akademicka 16 Str Gliwice44-101 Poland Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King’s College Road Toronto Canada

ISBN: (纸本)3540402179

In this paper, a new adaptive multichannel filter for the detection and removal of impulsive noise, bit errors and outliers in digital color images is provided. The proposed nonlinear filter takes the advantages of the concept of the local entropy contrast and the robust order-statistics theory. The new entropy based vector median is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard vector median filter. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Impulse noise

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Noisy heart sequences filtering by optimal median based operators 5

Noisy heart sequences filtering by optimal median based oper...

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5th IFAC Symposium on Modelling and control in Biomedical Systems 2003

作者： Lukac, Rasto Smolka, Bogdan Zavarsky, Pavol Plataniotis, Kostas N. Venetsanopoulos, Anastasios N. Slovak Image Processing Center Jarkova 343 Dobsina049 25 Slovakia Department of Automatic Control Silesian University of Technology Akademicka 16 Str. Gliwice44-101 Poland Nagaoka University of Technology 1603-1 Kamitomioka Nagaoka940-2188 Japan Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto Canada

Bit errors and impulses introduced into cardiographic image sequences prohibit to process and evaluate the heart dynamics correctly. Thus, biomedical imaging such as vascular imaging and quantification of heart dynamics is closely related to digital filtering. We provide three-dimensional impulse detection based adaptive median filters designed to perform the optimal filtering situation, where the robust median filter affects only noisy samples, whereas the desired image features remains unchanged. The proposed method holds excellent preserving characteristics and takes the advantage of the superposition property despite the nonlinearity of the median filtering. Copyright © 2003 IF AC.

关键词： Median filters

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Generalized entropy vector filters

Generalized entropy vector filters

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IEEE Region 8 International Symposium on Video/Image Processing and Multimedia Communications (EURASIP)

作者： R. Lukac K.N. Plataniotis B. Smolka A.N. Venetsanopoulos Slovak Image Processing Center Dobsina Slovakia Department of Automatic Control Silesian University of Technology Gliwice Poland Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto Canada

We provide new adaptive multichannel filtering schemes for the detection and removal of impulsive noise, bit errors and outliers in digital color images. The proposed nonlinear filter is based on the generalized multichannel concept of the local entropy contrast and the robust order-statistics theory. The proposed entropy based directional distance filter is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard multichannel filters outputting the lowest ranked vector as the output sample.

关键词： Entropy Color Filtering Noise robustness Smoothing methods Image processing Colored noise Nonlinear filters Working environment noise Strontium

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Generalized adaptive vector sigma filters

Generalized adaptive vector sigma filters

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IEEE International Conference on Multimedia and Expo (ICME)

作者： R. Lukac B. Smolka K.N. Plataniotis A.N. Venetsanopoulos Slovak Image Processing Center Dobsina Slovakia Department of Automatic Control Silesian University of Technology Gliwice Poland Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto Canada

In this paper we provide a new filtering scheme for the detection and the removal of impulsive noise in digital color images. The proposed adaptive nonlinear vector filters take the advantages of the robust order-statistic theory, generalized directional distance filter and standard sigma filter concept. The principles of the design are explained in detail. Simulation studies indicate that the proposed method is computationally attractive and is able to achieve excellent balance between the image-detail preservation and the noise attenuation.

关键词： Adaptive filters Color Working environment noise Filtering theory Noise robustness Colored noise Nonlinear filters Image processing Strontium Educational institutions

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Weighted vector median optimization

Weighted vector median optimization

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IEEE Region 8 International Symposium on Video/Image Processing and Multimedia Communications (EURASIP)

作者： R. Lukac K.N. Plataniotis B. Smolka A.N. Venetsanopoulos Slovak Image Processing Center Dobsina Slovakia Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto Canada Department of Automatic Control Silesian University of Technology Gliwice Poland

In this paper, a vector generalization of weighted median optimization approaches is provided. The proposed optimized weighted vector median filters utilize the relationship between standard median filter and vector median filter and also take the advantage of the generalized adaptive optimization algorithms initially developed for weighted median filters.

关键词： Adaptive filters Image processing Color Filtering Working environment noise Colored noise Vectors Linear approximation Strontium Educational institutions

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New class of impulsive noise reduction filters based on kernel density estimation

New class of impulsive noise reduction filters based on kern...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： B. Smolka K.N. Plataniotis R. Lukac A.N. Venetsanopoulos Department of Automatic Control Silesian University of Technology Poland The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada Slovak Image Processing Center Dobsina Slovakia Faculty of Applied Science and Engineering University of Toronto Toronto ONT Canada

The paper presents a new filtering scheme for the removal of impulsive noise in color images. It is based on estimating the probability density function for color pixels in a filter window by means of the kernel density estimation method. A quantitative comparison of the proposed filter with the vector median filter shows its excellent ability to reduce noise while simultaneously preserving fine image details.

关键词： Noise reduction Filters Kernel Colored noise Color Histograms Filtering Probability density function Shape Multidimensional systems

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引用

IEEE International Conference on Multimedia and Expo (ICME)

In this paper a novel approach to the problem of impulsive noise removal in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The new method is faster than the standard vector median filter and preserves better edges and fine image details. Simulation results show that the proposed method outperforms other standard algorithms of the reduction of impulsive noise in color images.

关键词： Colored noise Color Filtering Pixel Strontium Educational institutions Image processing Noise reduction Nonlinear filters Gray-scale

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Noise reduction in DNA microarray images based on digital path approach

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IFAC Proceedings Volumes 2003年第15期36卷 17-22页

作者： Bogdan Smolka Konstantinos N. Plataniotis Rastislav Lukac Anastasios N. Venesanopoulos Department of Automatic Control Silesian University of Technology Akademicka 16 Str. 44-101 Gliwice Poland Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto Canada Slovak Image Processing Center Jarkova 343 049 25 Dobsina Slovak Republic

In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images and that it enables efficient spot location and estimation of the gene expression level due to the smoothing effect and preservation of the spot edges. This paper contains the comparison of the new technique of noise reduction with the standard procedures used for the processing of vector valued images, as well as examples of the efficiency of the new algorithm when applied to typical cDNA microarray images.

关键词： adaptive digital filters image enhancement restoration smoothing

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Sliding mode control applied to motion control of linear structural systems under earthquake excitation

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IFAC Proceedings Volumes 2003年第7期36卷 251-255页

作者： Mahdi Jalili-Kharaajoo Siamak Feizi-Khankandi Arash Gholami Control & Intelligent processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran Iran Tel: (+98-21) 8020403 Fax: (+98-21) 8778690Turkey Civil Engineering Dep. University of Tehran P.O. Box 14395/525 Tehran Iran

For dynamical systems expressed in state-space form or for systems with non-classical damping, the reduction of the structural model into the modal co-ordinates involves complex modal analysis with complex modal co-ordinates. In this paper, application of sliding mode control for vibration control of a linear structural system under earthquake excitation is investigated. The proposed controller is applied to a three-storey building structure and the motion of the floors under El-Centro earthquake is investigated. Simulation results show that using the proposed sliding mode controller the displacement of the floors is decreased significantly. This controller can be similarly applied for higher order building.

关键词： Sliding mode control linear structural systems motion control earthquake excitation

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