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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Zhao-Hua Yang Zhao-Bang Pu Zhen-Qiang Qi Department of Automation Measurement and Control Harbin Institute of Technology Harbin China Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780378652

During the course of conventional multiscale morphological filtering, when the noise is filtered, the signals which are smaller than the structuring elements (SE) may be also removed. In this paper, a novel edge preserving multiscale filtering (EPMF) method based on mathematical morphology is proposed. The EPMF method adds the multiscale top-hat transformation and bottom-hat transformation to the conventional multiscale morphological opening and closing filtering. The two added transformations are used to extract and smooth the features which are smaller than the current scale. It is also found that the smaller features have greater possibilities to contain noise particles. Accordingly, the coefficients of top-hat transformation and bottom-hat transformation are modified. Simulation results on the standard gray-level images show that the proposed EPMF method can effectively remove noise and completely preserve the edge of images. It demonstrates better performance than the conventional filtering methods.

关键词： Morphology Filtering theory Automatic control Image recognition Image analysis Inspection Image processing Morphological operations Automation Noise measurement

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Relative entropy multilevel thresholding method based on genetic optimization

Relative entropy multilevel thresholding method based on gen...

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International Conference on Neural Networks and Signal Processing

作者： Zhao-hua Yang Zhao-bang Pu Zhen-qiang Qi Department of Automation Measurement and Control Harbin Institute of Technology Harbin China Department of Control Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)0780377028

Traditional optimal thresholding methods are very computationally expensive when extended to multilevel thresholding for their exhaustively search mode. So their applications are limited. In this paper, a relative entropy multilevel thresholding method based on genetic algorithm (RE-GA) is developed. The proposed method makes use of GA's properties such as high efficiency, rapid convergence and global optimization. The relative entropy is treated as the fitness function. Applying the proposed method to process image, the computation speed is accelerated and the quality is improved. Simulation results verify the performance of the proposed method by comparison with the traditional optimal thresholding methods.

关键词： Entropy Optimization methods Image segmentation Histograms Optimal control Automatic control Genetic algorithms Acceleration Automation Computational modeling

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Identification and robust control of flexible space structures

Identification and robust control of flexible space structur...

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American control Conference (ACC)

作者： M.P. Schoen S. Chinvorarat G.M. Schoen Measurement and Control Engineering Research Center Idaho State University USA King Mongkut''s Institute of Technology Bangkok Thailand Steinmaur Zurich Switzerland

This paper is concerned with the problem of identifying and controlling large flexible space structures (LFSS). These types of structures have a particular characteristic, which makes the task of identifying accurate system models more problematic. The proposed algorithm utilizes modal contribution coefficients to monitor the data collection and a simple genetic algorithm to define the parameters of the robust controller. Several objectives are included in the optimization process, such as rise time, overshoot, control energy, and a robustness measure among others. The proposed method is tested numerically and promises to work well for LFSS.

关键词： Robust control Vibration control Frequency System identification Sliding mode control Space technology Extraterrestrial measurements Damping control systems Velocity control

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Model-based coherent-structure control of turbulent shear flows using low-dimensional vortex models

Model-based coherent-structure control of turbulent shear fl...

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33rd AIAA Fluid Dynamics Conference and Exhibit 2003

作者： Pastoor, Mark King, Rudibert Noack, Bernd R. Dillmann, Andreas Tadmor, Gilead Measurement and Control Group Institute for Process and Plant Technology Technical University of Berlin P2-1 Hardenbergstraße 36a D-10623 Berlin Germany Hermann-Fottinger-lnstitute of Fluid Mechanics Technical University of Berlin HF1 Straße des 17. Juni 135 D-10623 Berlin Germany Department of Electrical and Computer Engineering Northeastern University 440 Dana Research Building Boston MA 02115 United States

ISBN: (纸本)9781624100956

In this study, a flow control strategy is presented for manipulating coherent shear-flow structures. As a benchmark problem, the transitional flow around a backward-facing step with local acoustic actuation at the upper edge is chosen. The strategy is based on a hierarchy of low-dimensional vortex models and targets the use of control-theory methods for control design. The hierarchy ranges from an one-vortex model which describes the vortex roll-up and shedding to a vortex-blob model which resolves the formation of Kelvin-Helmholtz vortices and the dynamics of the recirculation zone with a few hundred vortices. The higher-dimensional variants predict well the frequency-dependent reduction of the recirculation zone with harmonic actuation. The Lagrangian vortex models incorporate a continuous production. © 2003 by M. Pastoor, R. King, B.R. Noack A. Dillmann, and G. Tadmor. Published by the Ameri can institute of Aeronautics and Astronautics, Inc.

关键词： Vortex flow

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Model-based control of vortex shedding using low-dimensional galerkin models

Model-based control of vortex shedding using low-dimensional...

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33rd AIAA Fluid Dynamics Conference and Exhibit 2003

作者： Gerhard, Johannes Pastoor, Mark King, Rudibert Noack, Bernd R. Dillmann, Andreas Morzyński, Marek Tadmor, Gilead Measurement and Control Group Institute for Process and Plant Technology Technical University of Berlin P2-1 Hardenbergstraße 36a D-10623 Berlin Germany Hermann-Föttinger-lnstitute of Fluid Mechanics Technical University of Berlin HF1 Straße des 17. Juni 135 D-10623 Berlin Germany Institute of Combustion Engines and Basics of Machine Design Poznań University of Technology ul. Piotrowo 3 PL 60-965 Poznań Poland Department of Electrical and Computer Engineering Northeastern University 440 Dana Research Building Boston MA 02115 United States

ISBN: (纸本)9781624100956

A model-based flow control strategy is proposed for the suppression of vortex shedding behind a circular cylinder. The control design is based on a hierarchy of low-dimensional Galerkin models of the cylinder wake. These models are constructed from a Karhunen-Loève decomposition of a simulation without actuation. The key enablers are an additional physical mode in the Karhunen-Loève approximation and an energy-based control which respects the regime of model validity. The developed control strategy is successfully tested in direct numerical simulations. © 2003 by J. Gerhard, M. Pastoor, R. King, B.R. Noack, A. Dillmann, M. Morzyński and G. Tadmor. Published by the American institute of Aeronautics and Astronautics, Inc.

关键词： Circular cylinders

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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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Normal spectral emissivity changes of tungsten at 633 nm in the range from room temperature to melting point under pulse-heating conditions

Normal spectral emissivity changes of tungsten at 633 nm in ...

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Optical Design and Testing 2002

作者： Li, Chengwei Fan, Yi Dai, Jingmin Dept. of Automation Measurement and Control Engineering Harbin Institute of Technology P.O. Box 308 in District 1 Harbin150001 China

The classical steady-state technique for the measurement of thermophysical properties at high temperatures suffer from many limitations(for example, chemical reaction, evaporation, loss of mechanical strength etc. may exist). These problems may be overcome by transient techniques of sub-second durations. Pulse-heating experiments were performed on tungsten strip specimen, taking the specimen from room temperature to the melting point based on rapid resistive self-heating of the specimen. The normal spectral emissivity of the specimen was measured by integrating sphere reflectometry developed at HIT At the same time, the radiance temperature is measured by high-speed pyrometer from 1200K to the melting point. Details of the measurement technique, measurement apparatus and of the calibration technique are described. Results of the normal spectral emissivity of tungsten at 633nm from room temperature to melting point are presented and discussed. © 2002 SPIE.

关键词： Melting point

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A novel control algorithm based on immune feedback principle

A novel control algorithm based on immune feedback principle

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Zhen-Qiang Qi Guang-Da Hu Zhao-Hua Yang Fu-En Zhang Department of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Automatic Measurement and Control Harbin Institute of Technology Harbin China

Based on the feedback principle of a nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and a nonlinear immune system model is developed. Furthermore, a novel control algorithm based on the immune feedback principle is designed. According to the result of simulation, the algorithm can respond rapidly and stabilize quickly, just like the nature immune system does. It is shown that the performance of the immune feedback controller is superior to that of an ordinary controller.

关键词： Feedback Immune system Automatic control Neural networks Nonlinear control systems Nonlinear dynamical systems Algorithm design and analysis Adaptive control Information systems Electronic mail

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Determination of the workspace of a new coordinate-measuring machine using parallel-link mechanism

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Journal of Harbin institute of technology(New Series) 2001年第2期8卷 147-154页

作者：刘得军黄庆成叶东车仁生周琳 Dept. of Electrical Engineering Daqing Petroleum Institute Dept. of Automatic Measurement and Control Harbin Institute of Technology The Metal Engraving Factory of Yunnan Province

Presents the detailed algorithm established for determination of workspace for a 3-DOF coordinate measuring machine using parallel link mechanism by constructing the inverse kinematic model first and then reviewing the physical and kinematical constraints from the structural characteristics of the parallel link mechanism, and discusses the actual geometries of workspace and the factors having effect on workspace through computer simulation thereby providing necessary theoretical basis for the research and development of coordinate measuring machines using parallel link mechanism.

关键词： coordinate measuring machine workspace parallel link mechanism three degrees of freedom spatial coordinate

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Optimization of HMM by the tabu search algorithm 14

Optimization of HMM by the tabu search algorithm

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14th Conference on Computational Linguistics and Speech Processing, ROCLING 2001

作者： Mei, Xiao-Dan Sun, Sheng-He Pan, Jeng-Shyang Chen, Tsong-Yi Dept. of Automatic Test Measurement and Control Harbin Institute of Technology China Dept. of Electronic Engineering National Kaohsiung University of Applied Sciences Taiwan

In this paper, the tabu search algorithm is employed to train Hidden Markov Model (HMM) to search out the optimal parameter structure of HMM for automatic speech recognition. The proposed TS-HMM training provided a mechanism that allows the searching process to escape from the local optimum and obtain a near global optimum. Experimental results show that the TS-HMM training has a higher probability to find the optimal model parameters than the traditional algorithms. © 2001 Proceedings of the 14th Conference on Computational Linguistics and Speech Processing, ROCLING 2001. All rights reserved.

关键词： Global optimum Hidden Markov Model Speech recognition Tabu search

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