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American control Conference (ACC)

作者： K. Galkowski W. Paszke B. Sulikowski E. Rogers S. Xu J. Lam D.H. Owens Institute of Control and Computation Engineering University of Zielona Góra Poland Institute of Control and Computation Engineering University of Zielona Gόra Poland Department of Electronics and Computer Science University of Southampton UK Department of Mechanical Engineering University of Hong Kong China Department of Automatic Control and Systems Engineering University of Sheffield UK

In this paper we give new results on the analysis and control of differential linear repetitive processes, which are a distinct class of 2D linear systems of both systems theoretic and applications interest. The new results relate to stability and control in the presence of uncertainty in the process state space model. The family of control laws used has a well defined physical basis in terms of the underlying process dynamics.

关键词： control systems Linear systems Stability analysis Algorithm design and analysis automatic control Iterative algorithms Optimal control System testing control engineering computing computer science

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controllability and optimization for differential linear repetitive processes

Controllability and optimization for differential linear rep...

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IEEE Conference on Decision and control

作者： S. Dymkou E. Rogers M. Dymkov K. Galkowski D.H. Owens Lehrstuhl B fur Mathematik RWTH Aachen Germany Department of Electronics and Computer Science University of Southampton Southampton UK Institute of Mathematics National Academy of Sciences of Belarus Minsk Belarus Institute of Control and Computation Engineering University of Zielona Góra Poland Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

Differential linear repetitive processes are a class of continuous-discrete 2D systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is the fact that information propagation in one of the two independent directions only occurs over a finite interval. In this paper we develop an operator theory approach for the study of basic systems theoretic structural and control properties of these processes. In particular, we first develop a characterization of the range space of an operator generated by dynamics of the processes under consideration and use it to characterize a controllability property. Also we extend this operator setting to produce new results for a (again physically relevant) linear-quadratic optimization problem for these processes and the resulting optimal feedback control law.

关键词： controllability Optimal control control systems computer science Mathematics automatic control control engineering computing Systems engineering and theory Character generation Feedback control

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Efficient Approach for Face Detection in Video Surveillance

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Journal of Donghua University(English Edition) 2003年第4期20卷 52-55页

作者：宋红石峰 Department of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 China Department of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 Chinaecurity access control systems and automatic video surveillance systems are becoming increasingly important recently and detecting human faces is one of the indispensable processes. In this paper an approach is presented to detect faces in video surveillance. Firstly both the skin-color and motion components are applied to extract skin-like regions. The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm. Secondly the image is clustered into separated face candidates by using the region growing technique. Finally the face candidates are further verified by the rule-based algorithm. Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.

Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to detect faces in video ***,both the skin-color and motion components are applied to extract skin-like *** skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference ***,the image is clustered into separated face candidates by using the region growing ***,the face candidates are further verified by the rule-based *** results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.

关键词： face detection skin-color segmentation BPNN frame difference region growing

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Editorial

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International Journal of Robust and Nonlinear control 2003年第7期13卷

作者： Mario Garcia-Sanz Automatic Control and Computer Science Department Public University of Navarra 31006 Pamplona Spain

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A delay systems approach to linear differential repetitive processes: controllability and optimization

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IFAC Proceedings Volumes 2003年第19期36卷 333-338页

作者： S. Dymkou E. Rogers M. Dymkov K. Gałkowski D.H. Owens School of Information Technology and Mathematical Sciences University of Ballarat Victoria 33353 Australia Department of Electronics and Computer Science University of Southampton Southampton SO 17 1BJ UK Institute of Mathematics National Academy of Sciences of Belarus Surganov 11 220072 Minsk Belarus Institute of Control and Computation Engineering Technical University of Zielona Góra Poland Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD. UK

Differential linear repetitive processes are a class of continuous-discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is that information propagation in one of the two independent directions only occurs over a finite interval. Applications areas include iterative learning control and iterative solution algorithms for classes of dynamic nonlinear optimal control problems based on the maximum principle. In this paper, we investigate further the structural links between differential linear repetitive processes and a special class of time delay systems. This leads to some significant new controllability and optimal control results for these processes.

关键词： Repetitive processes time delay approaches controllability optimization

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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...

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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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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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Plant Uncertainty Contribution to QFT Tracking control Design

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IFAC Proceedings Volumes 2003年第11期36卷 517-522页

作者： M. Gil-Martínez M. García-Sanz System Engineering and Automation Group Electrical Engineering Department University of La Rioja. Luis de Ulloa 20 26004 Logroño SPAIN. Tf.:+34 941 299496 Automatic Control and Computer Science Department Public University of Navarra. Campus Arrosadía s/n 31006 Pamplona SPAIN Tf.:+34 948 16938

Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries.

关键词： Quantitative Feedback Theory Robust control Uncertain Dynamical Systems

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Object-Oriented Reengineering Patterns 1st

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丛书名： The Morgan Kaufmann Series in Software Engineering and Programming

2002年

作者： Demeyer, Serge Ducasse, Stephane Nierstrasz, Oscar

ISBN: (数字)9780080512990

ISBN: (纸本)9781558606395

The documentation is missing or obsolete, and the original developers have departed. Your team has limited understanding of the system, and unit tests are missing for many, if not all, of the components. When you fix a bug in one place, another bug pops up somewhere else in the system. Long rebuild times make any change difficult. All of these are signs of software that is close to the breaking *** systems can be upgraded or simply thrown away if they no longer serve their purpose. Legacy software, however, is crucial for operations and needs to be continually available and upgraded. How can you reduce the complexity of a legacy system sufficiently so that it can continue to be used and adapted at acceptable cost?Based on the authors' industrial experiences, this book is a guide on how to reverse engineer legacy systems to understand their problems, and then reengineer those systems to meet new demands. Patterns are used to clarify and explain the process of understanding large code bases, hence transforming them to meet new requirements. The key insight is that the right design and organization of your system is not something that can be evident from the initial requirements alone, but rather as a consequence of understanding how these requirements evolve.* Describes how to reverse engineer a monolithic system to understand how it really works and how to identify potential problems.* Includes reengineering patterns that tackle well-known reengineering techniques often encountered in object-oriented programming, such as introducing polymorphism, factoring out common behavior, detecting duplicated code, and understanding design.* Shows how to build a culture of continuous reengineering for achieving flexible and maintainable object-oriented systems.

关键词： object-oriented programming (OOP)

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Application of New Type BP Neural Networks for Magnetic Measurement

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High Technology Letters 2002年第2期8卷 83-86页

作者：张旭 Che Rensheng Kinouchi Y Luo Xiaochuan Dept. of Automatic Measurement and Control School of Computer Science and EngineeringHarbin Institute of Technology Harbin 150001 P.R.China Dept. of Electronic Engineering University of Tokushima Japan

Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods to solve this kind of inverse problem has all kinds of shortcomings, BPNN (Back Propagation Neural Networks) method can be used to solve this typical inverse problem fast enough for real time measurement. In the traditional BPNN method, gradient descent search method is performed for error propagation. In this paper the authors propose a new algorithm that Newton method is performed for error propagation. For the cost function is highly nonconvex in the magnetic measurement problem, the new kind of BPNN can get convergent results quickly and precisely. A simulation result for this method is also presented.

关键词： magnetic measurement BP neural network gradient method Newton Gauss method

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