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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Jiasheng Hao Yi Shen Hongbing Xu Jianxiao Zou School of Automation Engineering University of Electronic Science and Technology ChengDu China Department of Control Science and Engineering Harbin Institute of Technology Harbin China

Computer aided fusion of multi modality medical images provides a very promising diagnostic tool with numerous clinical applications. The objective of this paper is to present a novel scheme of medical imaging fusion. We define ¿local to be fused¿ of the process of image fusion as a generalized local, which extends airspace locals to generalized locals, and promotes the airspace local priority to generalized local priority. Based on this priority, the volume-weighted of token coefficient of images is introduced and weighted so that multi-modal medical image fusion is achieved with high quality. This scheme is applied to CT/MRI datasets and results show the effectiveness of the method.

关键词： Biomedical imaging Image fusion Medical diagnostic imaging Computed tomography Magnetic resonance imaging Biomedical engineering Positron emission tomography Signal processing automation Automatic control

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A region entropy based objective evaluation method for image segmentation

A region entropy based objective evaluation method for image...

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IEEE Instrumentation and Measurement Technology Conference

ISBN: (纸本)9781424433520

Many image segmentation methods have been proposed over the last few decades. However, the results of segmentation are usually evaluated only visually, qualitatively, or indirectly by the effectiveness of the segmentation on the subsequent processing steps. Such methods are either subjective or tied to particular applications. A few quantitative evaluation methods have been proposed, but these early methods have been based entirely on empirical analysis and have no theoretical grounding. In this paper, we put forward the concept of segmentation entropy, based on which a novel objective segmentation evaluation method is proposed. This method uses region entropy as the basis for measuring the uniformity of pixel characteristics within segmented regions and segmented entropy as a whole measure to provide a relative qualitative score that can be used to compare both various parameterizations of one particular segmentation method as well as fundamentally different segmentation techniques.

关键词： Image segmentation Random variables Information theory Particle measurements Information entropy Instrumentation and measurement automation Automatic control Grounding Measurement standards

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The Research on Gun Vibration Characteristic Analysis Based on Wavelet

The Research on Gun Vibration Characteristic Analysis Based ...

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第三届国际机械工程与力学会议

作者： Qiang CHEN Guolai YANG Zhangqing ZHU Department of Systems and Control Engineering Department of Systems and Control Engineering Nanjing University Department of Mechanical Design and Automation School of Mechanical Engineering Nanjing University of Science and Technology

The projectile movement on bore is the key factor of gun vibration character. In order to obtain the projectile movement with the information in time-domain and frequency-domain, the wavelet transform is used for time-domain and frequency-domain analysis of response from the dynamics model with coupling between gun and projectile. The dynamics model of multi-body system with consideration of collisions between projectile and rifle is constructed for a gun. The traverse acceleration of projectile with time history is acquired by numerical computation. Because wavelet transform has favorable locality in time-domain and frequency-domain and the signal time-domain average is not needed, the continuous wavelet transform is applied to construe the response on acceleration of projectile. The figure of time frequency phase plane is plotted, which can directly describe the energy and time when the collision of projectile occurs, and can provide the reference for gun vibration characteristic analysis.

关键词： Vibration gun dynamic wavelet time-domain and frequency-domain analysis

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Stability of continuous-time vehicles formations with time delays in undirected communication network

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Information Technology Journal 2009年第2期8卷 165-172页

作者： Li, Xiang-Shun Fang, Hua-Jing Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China School of Automation Wuhan University of Technology Wuhan 430070 Hubei China

tins study mainly tocuses on stability analysis ot venicles tormations with time delays in trie communication network. The network model with time delays of swarm vehicles for continuous-time systems is introduced. The vehicles exchange information according to a pre-specified (undirected) communication graph. The feedback control is based only on relative information about vehicle states shared via the communication links. Asymptotical stability of vehicles formations for both delay-independent and delay-dependent cases is analyzed. The sufficient conditions for vehicles formations stabilities are investigated based on tools from linear matrix inequality theory, algebraic graph theory, matrix theory and control theory. Finally, an illustrative example is used to show the validity of the theoretical results. © 2009 Asian Network for Scientific Information.

关键词： Time delay

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Synchronization control of Stochastic Delayed Neural Networks Communicating with Unreliable Links

Synchronization Control of Stochastic Delayed Neural Network...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Yijun Zhang Dong Yue Engang Tian the School of Automation Nanjing University of Science and Technology the Institute of Information and Control Engineering Technology Nanjing Normal University

This letter considers the problem of mean-square exponential synchronization control for a class of stochastic delayed neural *** from the prior works,the master-response synchronization setup under consideration transmits its signals through unreliable links,which include network-induced delays,frame losses,and random *** firstly introduce a mathematical model of networked synchronization *** using Lyapunov method,some delaydependent sufficient criteria are derived for the error system to be mean-square exponentially stable,which ensure the response systems synchronize with the master in the mean square *** illustrative example is provided to show the effectiveness and applicability of the proposed scheme.

关键词： frame Lyapunov Synchronization control of Stochastic Delayed Neural Networks Communicating with Unreliable Links

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A New Training Algorithm for RBF Neural Network Based on PSO and Simulation Study

A New Training Algorithm for RBF Neural Network Based on PSO...

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Computer science and Information engineering, CSIE, WRI World Congress on FLAGGED

作者： Man Chun-tao Wang Kun Zhang Li-yong School of Automation Harbin University of Science and Technology Harbin China School of Measurement-Control Tech & Communications Engineering Harbin China

Being difficult to determine hidden unitspsilas number and unsuitable to select central position in radial basis function (RBF) layer, particle swarm optimization and resource allocation (RAN) were proposed for training RBF neural networks. First, determine unitspsilas number in RBF layer using RAN. Then, optimize RBF parameters such as central position, width and weights based on PSO. The simulation results show that the new method has better approximation ability, the shorter time and the higher precision.

关键词： Neural networks Particle swarm optimization Radio access networks Function approximation Radial basis function networks Feedforward systems Transfer functions Computer science Computational modeling Computer simulation

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H∞ controller for consensus of swarm agents with complete and incomplete communication graphs

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Journal of Applied sciences 2009年第10期9卷 1929-1935页

This study mainly focuses on design method for H∞ controllers achieving consensus among the autonomous agents within swarm. A robust controller is designed for the entire closed-loop system to achieve consensus among the agents, while the non-consensus part is Lyapunov stable based on the robust disturbance rejection. Two cases are considered. The first one is that the agents in the swarm can interact with every other agent when each agent can receive information from every other. The other one is that the topology structure composed by the agents is fixed when each agent in the swarm can only exchange information with some agents but not all other agents. Simulation results demonstrate that designed controller for the system can make the closed-loop system reach consensus with non-consensus part be Lyapunov stable meeting the H∞ performance for disturbances attenuation. © 2009 Asian Network for Scientific Information.

关键词： State feedback

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Adaptive sliding mode control for Takagi-Sugeno fuzzy systems

Adaptive sliding mode control for Takagi-Sugeno fuzzy system...

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48th IEEE Conference on Decision and control held jointly with 2009 28th Chinese control Conference, CDC/CCC 2009

作者： Zhang, Jinhui Shi, Peng Xia, Yuanqing Fu, Mengyin Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing 100081 China Faculty of Advanced Technology University of Glamorgan Pontypridd CF37 1DL United Kingdom School of Engineering and Science Victoria University Australia

ISBN: (纸本)9781424438716

This paper is devoted to robust adaptive sliding mode control for a class of nonlinear systems in the Takagi-Sugeno forms with mismatched parametric uncertainties. Sufficient conditions for the existence of linear sliding surfaces are given in terms of linear matrix inequalities, by which the corresponding adaptive reaching motion controller is also designed. Simulation studies show the effectiveness of the control scheme. ©2009 IEEE.

关键词： Linear matrix inequalities

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Robust Stability Analysis on Discrete-Time Cohen-Grossberg Neural Networks with Distributed Delay

Robust Stability Analysis on Discrete-Time Cohen-Grossberg N...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Tao Li Aiguo Song Shumin Fei Tao Zhang School of Instrument Science and Engineering Southeast University IEEE Key Laboratory of Measurement and Control of CSE (School of Automation Southeast University)Ministry of Education

This paper investigates the robust exponential stability for discrete-time Cohen-Grossberg neural networks with both time-varying and distributed *** constructing a novel Lyapunov-Krasovskii functional and introducing some free-weighting matrices,two delay-dependent sufficient conditions are obtained by using convex *** criteria are presented in terms of LMIs and their feasibility can be easily checked with the help of LMI in Matlab *** addition,the activation function can be described more generally,which generalizes those earlier ***,the effectiveness of the obtained results is further illustrated by a numerical example in comparison with the existent ones.

关键词： Robust Stability Analysis on Discrete-Time Cohen-Grossberg Neural Networks with Distributed Delay

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Online prediction of Mooney viscosity in industrial rubber mixing process via adaptive kernel learning method

Online prediction of Mooney viscosity in industrial rubber m...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Diancai Yang Yi Liu Yugang Fan Haiqing Wang State Key Laboratory of Industrial Control Technology Zhejiang University School of Information Engineering and Automation Kunming University of Science and Technology

Mooney viscosity is an important while difficult-to-measure quality index with a long-term laboratory assay in nowadays internal rubber mixing *** this study,an adaptive kernel learning(AKL) algorithm suitable for nonlinear multi-input-multi-output process modeling is applied to online prediction of Mooney *** developed AKL algorithm utilizes a sequentially sparse strategy to control the model complexity and adopts a two-stage recursive learning mechanism to update the network topology ***,the AKL model can trace different characteristics of the internal mixing *** developed AKL modeling method has been successfully applied to online prediction of Mooney viscosity in several rubber and tire manufactories in *** industrial applications show that the AKL model exhibits good modeling ability and predicts Mooney viscosity ***,the comparison results indicate that AKL is superior to conventional recursive partial least squares method.

关键词： Online prediction of Mooney viscosity in industrial rubber mixing process via adaptive kernel learning method

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