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On the ellipsoidal invariant set of fractional order systems subject to actuator saturation 34

On the ellipsoidal invariant set of fractional order systems...

引用

第三十四届中国控制会议

作者： LI Chuang LU Junguo School of Mechanical and Electrical Engineering Hainan University Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781467374439

This paper investigates the method for estimating the domain of attraction of the origin for a class of fractional order system subject to actuator saturation with the fractional order 0 < α < 1. The sufficient condition on the asymptotic stability are obtained using Lyapunov direct approach and fractional order inequality. The method for the estimation on the contractively invariant ellipsoid is derived in terms of linear matrix inequalities(LMIs), and hence can be easily adopted for controller synthesis. Two numerical examples are provided to illustrate the effectiveness of the developed method.

关键词： Fractional order,Saturation,Domain of attraction,Invariant ellipsoid

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A Supervised Correspondence Method for Statistical Shape Model Building

A Supervised Correspondence Method for Statistical Shape Mod...

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2016 IEEE International Conference on Signal and Image processing

作者： Guangxu Li Hideki Honda Yuriko Yoshino Hyoungseop Kim Zhitao Xiao School of Electronics and Information Engineering Tianjin Polytechnic University Department of Control Engineering Kyushu Institute of Technology Tianjin Key Laboratory of Photoelectric Detection Technology and System

The construction of statistical shape model(SSM) is an important research topic in medical imaging benefited from its robust and nature represent of anatomical ***-march of corresponding landmarks is one of the major factors influencing 3D SSM *** this paper, we present a supervised correspondence method for fast building SSM,which includes two main steps, i.e., surface data alignment and landmarks specified based on surface *** framework is validated with statistical models of the liver constructed from contrast CT *** experiment results demonstrate that the generated model is statistical and anatomically meaningful.

关键词： shapes correspondence particle swarm optimization statistical shape model image segmentation

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Perception of image based on the psychophysical property

Perception of image based on the psychophysical property

引用

IEEE information Technology, Networking, Electronic and Automation control Conference

作者： Jiang Wei Zhang Hua Zhang Xing-Ru Ministry of Culture Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China Information Engineering School Communication University of China Beijing China

ISBN: (纸本)9781467391955

The paper presents a limit analysis of psychophysical methods which is designed for the changes in visual perception of when visual stimulus appear alternately. The purpose of this experiment is to reveal the quantizing relationship between stimulate and feeling response. Meanwhile, we studied the perception of image on visual information considering the color psychological attributes to clarify the changes of visual perception when image information presented by limit analysis approach. Based on the psychological scale, the test images were divided into three types using psychophysical analysis. The test results of psychophysical methods also were validated, focusing the verifications on the correctness of the main image date behind the limit analysis. The images data is derived from entropy, moment of inertia, local balance, and correlation. Both the two kinds of analysis arrived at the same conclusion, which turned out that the image perception happens in emotional process and depends upon the psychophysical property and signal superposition response.

关键词： Image color analysis Correlation Psychology Visualization Entropy Histograms Brightness

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A novel noise reduction method for optical coherence tomography images

A novel noise reduction method for optical coherence tomogra...

引用

International Congress on Image and Signal processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Xiaoming Liu Zhou Yang Jia Wang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China College of Computer Science and Technology Wuhan University of Science and technology Wuhan China

ISBN: (纸本)9781509037117

In the field of image processing, compared with noisy image, high-quality or clean image usually has a positive impact on the final results, which lead to the emergence of image denoising. Recently, the patch-based methods have attracted considerable interest of researchers, which leverage the self-similarity of the noisy image or information of other relevant images. In this paper, we proposed a novel patch-based method to reduce the noise in optical coherence tomography (OCT) image, which consist of two steps. A combination of internal denoising and external denoising is adopted to select similar patches for each patch in the noisy image. Next, we use low rank technique to denoise the group of the noisy patch and its similar patches. After all patches in a noisy image are denoised, the corresponding clean image is constructed by aggregating all denoised pixels and the first step denoising is accomplished. A new noisy image is constructed and taken as the input of the second step denoising. Experimental results demonstrate that our method achieves better effect and performance, compared with the existing state-of-the-art methods.

关键词： Noise measurement Noise reduction Standards Optical coherence tomography Sparse matrices Databases Image processing

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A new twin support vector machine for pattern recognition

A new twin support vector machine for pattern recognition

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International Congress on Image and Signal processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Xiaoming Liu Ting Zhu Leilei Zhai Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China College of Computer Science and Technology Wuhan University of Science and technology Wuhan China

ISBN: (纸本)9781509037117

A new nonparallel twin support vector machine is presented in this article which combine l 2,1 -norm minimizing on both loss function and regularization which called (TWSVM_21). Our TWSVM_21 is formulated aiming to separate class more efficiently. Different from other nonparallel classifier, such as the presented TBSVM, the classifier we proposed in this paper joint l 2,1 -norm. Experiments on DDSM datasets show the feasibility and effectiveness of our TWSVM_21.

关键词： Support vector machines Feature extraction Cancer Standards Geometry Delta-sigma modulation Robustness

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Planar near-field to far-field transformation for massive MIMO systems 34

Planar near-field to far-field transformation for massive MI...

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第三十四届中国控制会议

作者： HAN Xiangzi TAN Xiaobin WU Fan CAS Key laboratory of Technology in Geo-spatial Information Processing and Application System School of Information Science and Technology University of Science and Technology of China

ISBN: (纸本)9781467374439

The massive or large scaled multiple input multiple output(MIMO) systems have gained huge consideration due to high achievable data rates, reliable system performance and advantaged energy efficiency for future wireless networks. For such systems, we should have a keen knowledge of the channel model, the ways of configuration, spectral efficiency and so on. The obtaining of the far-field pattern in the massive MIMO system from measurements made in the near-field has attracted widespread attention recently. In this article, two basic techniques for accomplishing this have been proposed. In the first technique, the NTFF(near-field to far-field) transformation is based on the equivalence principle. While in the second technique, it is based on the plane wave spectrum(PWS) expansion. Both of the methods have their own advantages for the massive MIMO systems. One can drastically reduce the computation time and the other can make enormous reduction in the storage consumption. Experimental results show that the two transformation techniques are proved to be feasible and they are consistent with each other.

关键词： massive MIMO,NTFF transformation,the equivalence principle,PWS expansion

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TAPRank: A time-aware author ranking method in heterogeneous networks

TAPRank: A time-aware author ranking method in heterogeneous...

引用

IEEE International Conference on Smart City, SmartCity 2015

作者： Kong, Xiangjie Zhou, Jinmeng Zhang, Jun Wang, Wei Xia, Feng School of Software Dalian University of Technology Dalian116620 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China

ISBN: (纸本)9781509018932

Measuring the impact of authors can not only be a good guidance for new researchers, but also provide a standard for academic foundations and awards. Heterogeneous networks can capture more information about the interactions between entities and they are more and more widely used for the measurement of author impact. However, most of the existing researches take all the papers into the networks as equal, although they have different importance levels. In this paper, we propose a new model: TAPRank, which calculates author impact in author-paper network with considering the PageRank scores of papers for the first time. The PageRank algorithm is implemented in paper citation network, taking the time of publication of each paper into consideration. In addition, the experiments on DBLP dataset show a better performance of TAPRank than other state-of-the-art models. © 2015 IEEE.

关键词： Heterogeneous networks

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Speech enhancement using magnitude and phase spectrum compensation

Speech enhancement using magnitude and phase spectrum compen...

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International Conference on Computer and information Science (ACIS)

作者： Zhen Li Wenjin Wu Qin Zhang Hui Ren Shilei Bai Information Engineering School Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (纸本)9781509008070

Background noise is a severe problem in speech related systems. In order to solve this problem, it is important to eliminate the noise from the noisy speech, which is called speech enhancement. Typical speech enhancement algorithms only operate on the short-time magnitude spectrum, while keeping the short-time phase spectrum unchanged for synthesis. Or only compensate the phase spectrum while keeping the magnitude spectrum unchanged. In this paper, we present a novel method by changing both magnitude and phase spectra to produce a modified complex spectrum. The test of an objective speech quality measure PESQ, and spectrogram analysis had showed that the proposed method can obtain better enhancement performance.

关键词： Speech Speech enhancement Noise measurement Signal to noise ratio Spectrogram Estimation

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Iterative learning predictive control for urban drainage systems 34

Iterative learning predictive control for urban drainage sys...

引用

第三十四届中国控制会议

作者： CUI Yiqun JIN Mengke LI Dewei XI Yugeng CEN Lihui Department of Automation Shanghai Jiao Tong UniversityShanghai Key Laboratory of System Control and Information ProcessingMinistry of Education Department of Automation Science and Technology School of Information Science and EngineeringCentral South University

ISBN: (纸本)9781467374439

Urban drainage system is important for a modern city. This paper considers the control problem of an urban drainage system when a storm happens. By analyzing a storm, we see that the procedure of every storm is similar and its approximate procedure can be divided into three phases according to the change trend of rainfall. Therefore, we introduce the iterative learning control(ILC) into the urban drainage system and present a method of ILC based model predictive control(MPC). A 2D model based on a simpli ed model of drainage system is adopted. The procedure of a storm is divided into three phases and the ILC based MPC is designed for each phase by regarding it as a similar batch process. The handle of different length of phases is also considered. Since the learning based on the historic results is utilized, the proposed control method can improve the control result storm by storm. The numerical examples verify the effectiveness of the proposed design.

关键词： Predictive control,Learning control,Urban Drainage system

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Event-triggered consensus tracking for multi-agent systems with nonlinear uncertainty dynamics

Event-triggered consensus tracking for multi-agent systems w...

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第35届中国控制会议

作者： Xuhui Li Bohui Wang Jingcheng Wang Bin Zhang Hai Lin Xiaocheng Li the National Engineering and Research Center for Commercial Aircraft Manufacturing Commercial Aircraft Corporation of China Ltd the Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China the Department of Electrical Engineering University of South Carolina

ISBN: (纸本)9781509009107

This paper addresses the event-triggered consensus tracking for general linear multi-agent systems with nonlinear uncertainty dynamics under directed communication *** proposed event-triggered consensus strategy relaxes the assumptions in existing works that the control gain and local inputs must be *** the consensus tracking condition being satisfied,the cooperative control law with bounded parameter is developed based on the intermittent *** shows that if the sampling condition,in terms of LMIs,is satisfied,the resulting closed-loop general linear multiagent uncertain systems will achieve the *** results are provided to verify the proposed approach.

关键词： Index Terms-multi-agent systems event-triggered consensus tracking uncertainty intermittent samples

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