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Dissipativity Analysis and Stabilization for Stochastic Systems with Repeated Scalar Nonlinearities and Applications

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CIRCUITS SYSTEMS AND SIGNAL processing 2012年第6期31卷 2019-2033页

作者： Yang, Cihui Zeng, Zhigang Wen, Shiping Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Nanchang Hangkong Univ Sch Informat Engn Nanchang 330063 Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

This paper investigates the problem of exponential dissipativity for stochastic systems with repeated scalar nonlinearities. The nonlinear system is described by a state equation containing a repeated scalar nonlinearity, which typically appears in recurrent neural networks. Attention is focused on the exponential dissipativity analysis of stochastic systems with repeated scalar nonlinearities with respect to quadratic supply rates. Passive and non-expansive property of stochastic systems with repeated scalar nonlinearities is also characterized. Moreover, a controller has been designed to make the stochastic systems with repeated scalar nonlinearities asymptotically stable. A Marketing-Production system and a Chua circuit are given to illustrate the effectiveness of the proposed design method.

关键词： Dissipativity Repeated scalar nonlinearities Stochastic systems

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An overview of Hierarchical Temporal Memory: A new neocortex algorithm

An overview of Hierarchical Temporal Memory: A new neocortex...

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Chen, Xi Wang, Wei Li, Wei Institute of System Engineering Huazhong University of Science and Technology Education Ministry of China Wuhan Hubei 430074 China Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory Education Ministry of China China

ISBN: (纸本)9780956715715

The overview presents the development and application of Hierarchical Temporal Memory (HTM). HTM is a new machine learning method which was proposed by Jeff Hawkins in 2005. It is a biologically inspired cognitive method based on the principle of how human brain works. The method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near future. This overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, image processing and robots movement, some potential applications by using HTM, such as thinking process, are also put forward. © 2012 Huazhong Univ of Sci & Tec.

关键词： Forecasting

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Application of Fuzzy Enhancement in the Diagnosis of Liver Cancer from Ultrasound images

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International Conference on Mechanical Engineering and intelligent Systems (ICMEIS 2012)

作者： Qiu, Wu Xiao, Feng Yang, Xin Ye, Maolin Ming Yuchi Ding, Mingyue Huazhong Univ Sci & Technol Sch Life Sci & Technololgy Key Lab Image Proc & Intelligent Control Educ Minist China Wuhan Hubei Peoples R China

ISBN: (纸本)9783037854693

Fuzzy enhancement is applied in computer aided diagnosis of liver cancer from B moth, ultrasound images as a pre-processing procedure in this paper. It was evaluated with three classifiers including K means, back propagation neural network and support vector machine using 25 features from single gray-level statistic, gray-level co-occurrence matrix (GLCM), and gray-level run-length matrix (GLRLM). The results show that the fuzzy enhancement algorithm can improve classification accuracy of normal liver, liver cancer and Hemangioma from B moth ultrasound images for three classifiers. It is proved that fuzzy enhancement as an efficient preprocessing procedure could be used in the computer aided diagnosis system of liver cancer.

关键词： component Fuzzy enhancement liver cancer neural network support vector machine computer aided diagnosis

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Adaptive minimum variance beamforming combined with phase coherence imaging for ultrasound imaging

Adaptive minimum variance beamforming combined with phase co...

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Conference on Medical Imaging - Ultrasonic Imaging, Tomography, and Therapy

作者： Xu, Mengling Chen, Yimin Ding, Mingyue Ming Yuchi Huazhong Univ Sci & Technol Sch Life Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9780819489692

Delay-and-sum (DAS) beamformer is extensively used in ultrasound imaging. However, the DAS beamformed signals have wide main lobe widths and high side lobe levels, which result in images with limited resolution and low contrast. Recently, a new signal processing method named phase coherence imaging (PCI) for side and grating lobes suppression was proposed. It was based on a statistical analysis of the phase dispersion in the received signals. The contrast could be significantly enhanced. For spatial resolution improvement, adaptive minimum variance (MV)-based beamformer presented in the ultrasound imaging literatures shows great potentials by minimizing off-axis signals, while keeping on-axis ones. In this paper, MV beamforming combined with PCI is introduced to effectively increase the imaging resolution and contrast simultaneously and outperform both MV and PCI beamformers. Two phase coherence factors, the phase coherence factor (PCF) and the sign coherence factor (SCF), are computed based on the measurement of the phase diversity of the received aperture data, and then used to weight the MV beamformed channel sum output. Simulations with point and cyst phantoms using FIELD II demonstrate the expected performance of the proposed beamforming method.

关键词： minimum variance beamforming phase coherence imaging phase coherence factor sign coherence factor ultrasound imaging

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A New Angular Method to Determine the Objective Weights

A New Angular Method to Determine the Objective Weights

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24th Chinese control and Decision Conference (CCDC)

作者： Dong Shuai Zheng Zongzhun Wang Yongji Liu Lei Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Beijing Inst Aerosp Automat Control Beijing 100854 Peoples R China

ISBN: (纸本)9781457720727

This paper proposes a new approach to determine objective weights geometrically in the multiple attributes decision making (MADM) problems. The proposed method chooses an assumptive attribute as reference to measure the angles between other attributes and itself. The angles reflect the relative importance or weights of these attributes. An example is introduced to demonstrate the effectiveness and stableness of the proposed approach. The insensitiveness to different normalizations of the new method are also analyzed.

关键词： Multiple Attributive Decision Making Objective Weight Stableness Insensitiveness

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Global exponential convergence of periodic neural networks with time-varying delays

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NEUROCOMPUTING 2012年第1期78卷 149-154页

作者： Wu, Ailong Zeng, Zhigang Zhang, Jine Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China E China Jiaotong Univ Sch Basic Sci Nanchang 330013 Peoples R China

In this paper, the global exponential convergence of a general class of periodic neural networks with time-varying delays is investigated. Based on the theory of mixed monotone operator, a testable algebraic criteria for ascertaining global exponential convergence is derived. Furthermore, the rate of exponential convergence and bound of the networks are also estimated. Finally, a numerical example is given to show the effectiveness of the obtained results. Crown Copyright (C) 2011 Published by Elsevier B.V. All rights reserved.

关键词： Periodic neural networks Global exponential convergence Mixed monotone operator

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Multistability of Neural Networks with Time-Varying Delays and Concave-Convex Characteristics

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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2012年第2期23卷 293-305页

作者： Zeng, Zhigang Zheng, Wei Xing Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Hubei Peoples R China Minist China Key Lab Image Proc & Intelligent Control Educ Wuhan 430074 Hubei Peoples R China Univ Western Sydney Sch Comp & Math Penrith NSW 2751 Australia

In this paper, stability of multiple equilibria of neural networks with time-varying delays and concave-convex characteristics is formulated and studied. Some sufficient conditions are obtained to ensure that an n-neuron neural network with concave-convex characteristics can have a fixed point located in the appointed region. By means of an appropriate partition of the n-dimensional state space, when nonlinear activation functions of an n-neuron neural network are concave or convex in 2k+2m-1 intervals, this neural network can have (2k+2m-1)(n) equilibrium points. This result can be applied to the multiobjective optimal control and associative memory. In particular, several succinct criteria are given to ascertain multistability of cellular neural networks. These stability conditions are the improvement and extension of the existing stability results in the literature. A numerical example is given to illustrate the theoretical findings via computer simulations.

关键词： Attractive set concave-convex characteristics fixed point multistability neural networks time-varying delays

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Ferrofluid clustering driven by dilution: An alternating current susceptibility investigation

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JOURNAL OF APPLIED PHYSICS 2012年第6期111卷 064317-064317页

作者： Zhong, Jing Liu, Wenzhong Li, Yin Wu, Mian Morais, Paulo Cesar Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Univ Brasilia Inst Fis BR-70910900 Brasilia DF Brazil

The influence of sample dilution upon cluster disruption/formation within a ferrofluid sample is investigated by monitoring the temperature dependence of the initial AC susceptibility. The effective magnetic response of the ferrofluid sample is described by a combination of Langevin's functions modulated by the relative content of monomers and clusters. Deviations from the linearity found in the inverse susceptibility versus temperature (chi(-1) T) data were successfully described via the disruption of clusters into monomers within the approach of a second order phase transition at the critical temperature T*. We found T* increasing monotonically from 386 K to 412 K as the stock ferrofluid sample is diluted up to a factor of 5. In the same dilution range, we found the normalized relative content of clusters increasing from about 38% up to 42%, whereas the average effective magnetic moment of the clusters increased by a factor of 1.7. (C) 2012 American Institute of Physics. [http://***/10.1063/1.3697677]

关键词： magnetic fluids magnetic moments magnetic susceptibility magnetic transitions

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Model Reference Decoupling controller Design via LMI Optimization

Model Reference Decoupling Controller Design via LMI Optimiz...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Lei Liu Zhishen Wang Zongzhun Zheng Yongji Wang Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of C Beijing Aerospace Automatic Control Institute BeijingChina Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of C

This paper proposed a H∞ based controller design method for MIMO *** use the bound real lemma to design the controller when the reference model is *** BMI (Bi-linear Matrix Inequality) problem is turned into a LMI (Linear Matrix Inequality) problem by congruence transformation and variables *** a decoupled reference model, the decoupling controller can be obtained by *** apply the method to a linearized vehicle model and the simulation results show the effectiveness of the approach.

关键词： decoupling linear matrix inequality H-infinity (H∞) model reference control

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Straight from RF to 3D Ultrasound image Reconstruction

Straight from RF to 3D Ultrasound Image Reconstruction

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International Conference on Computerized Healthcare (ICCH)

作者： Kasa, Loxlan Wesley Ding, Mingyue Huazhong Univ Sci & Technol Coll Life Sci & Technol Image Proc & Intelligent Control Key Lab Educ Minist China Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9781467351270

3D Ultrasound has recently been a routine imaging modality for medical diagnosing and in other bioscience fields. Compared to the conventional method where 2D images are used to represent a 3D anatomy, clinicians base upon their experience, build the 3D anatomy mentally. This approach has many short comings where 3D ultrasound has well addressed, but with high computational burden. Discussed in this paper is an alternative method to achieve 3D ultrasound image with less processing time and minimum memory usage, while preserving the raw quality of the images. Experimental 3D ultrasound image reconstruction was done using standard simulated phantom and results were compared to the traditional method. It demonstrated that the proposed method reconstructed 3D ultrasound image with less time and decreased in memory consumption.

关键词： reconstruction 3D ultrasound 3D scan conversion scan lines

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