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International Conference on Intelligent and Advanced systems, ICIAS

作者： Mahdi Ramezani Amin Heidari Emad Fatemizadeh Hamid Soltanian-Zadeh Biomedical Signal and Image Processing Laboratory Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquired from a resting healthy subject to find functionally connected brain regions. In order to make computation of the spectral decompositions of the entire brain volume feasible, the similarity matrix has been sparsified with the t-nearest-neighbor approach. Realistic data were created to investigate the performance of the proposed algorithm and comparing it to the recently proposed spectral clustering algorithm with the Nystrom approximation and also with some well-known algorithms such as the Cross Correlation Analysis (CCA) and the spatial Independent Component Analysis (sICA). To enhance the performance of the methods, a variety of data pre and post processing steps, including data normalization, outlier removal, dimensionality reduction by using wavelet coefficients, estimation of number of clusters and optimal number of independent components (ICs). Results demonstrate the applicability of the proposed algorithm for functional connectivity analysis.

关键词： Clustering algorithms Algorithm design and analysis Correlation Approximation methods Independent component analysis Time series analysis Approximation algorithms

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Fuzzy dynamic characteristic modeling and intelligent adaptive control for complex spacecraft

Fuzzy dynamic characteristic modeling and intelligent adapti...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiong Luo Song Hu Zengqi Sun Xintao Qiu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristic modeling and control approach is an effective way to solve this problem. Aimed at the flexible satellites described by using characteristic modeling approach, with the help of fuzzy rules, fuzzy dynamic characteristic modeling method and intelligent adaptive controller are designed to control this complex spacecraft. Meanwhile, based on the satellite system simulation platform, we validate the correctness and efficiency of the proposed modeling and control method by comparing with the simulation results of the other similar methods.

关键词： Adaptation model Laboratories Satellites Space vehicles Intelligent control Artificial intelligence Information science

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Dynamic modeling and tracking control of fuel filled space robotic system with flexible manipulators

Dynamic modeling and tracking control of fuel filled space r...

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International Symposium on systems and control in Aerospace and Astronautics (ISSCAA)

作者： Xinxin Yang Xiong Luo Fuchun Sun Fengge Wu Huaping Liu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and TechnologyTsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

In recent years, dynamics model and control of space robot system are the hot topics in the research field. In this paper, a new dynamics model and control strategy of space robotic system with a flexible manipulator and a liquid fuel tank are investigated. Based on Lagrange equation method, the dynamics model of the space robotic system coupling with liquid sloshing, flexibility vibration and base movement is derived. The elastic deflection of the flexible manipulator is described by the assumed mode method and equivalent mechanical model is adopted instead of liquid sloshing under the environment of low-gravity. The inverse dynamics control algorithm combined with PD control method is performed to solve the trajectory tracking problem. Some simulation results are given to verify the effectiveness of the proposed method.

关键词： Mathematical model Aerospace electronics Manipulator dynamics Equations Space vehicles

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Multiple-atlas-based automatic sementation of hippocampus for lateralization in temporal lobe epilepsy

Multiple-atlas-based automatic sementation of hippocampus fo...

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IEEE International Symposium on Biomedical Imaging

作者： Alireza Akhondi-Asl Kourosh Jafari-Khouzani Hamid Soltanian-Zadeh Image Analysis Laboratory Department of Diagnostic Radiology Henry Ford Health System Detroit MI USA School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424441259

We introduce a 3D segmentation framework which uses principal shapes. The probabilistic energy function of the method is defined based on intensity, tissue type, and location information of the structures using a multiple atlas method. For intensity information, nonparametric probability density function is used which considers intensity relation of different structures. To find a local minimum of the energy function, a two-step optimization strategy is used. In the first step, shape parameters are optimized based on the analytic derivatives of the energy function. In the second step, shapes of the structures are fine-tuned using a level set method. The proposed method is shown to be superior to some popular methods in the literature using a dataset of 64 patients with mesial temporal lobe epilepsy. In addition, the method can be used for lateralization with accuracy close to that of manual segmentation.

关键词： Hippocampus Temporal lobe Epilepsy Image segmentation Principal component analysis Shape control Probability density function Level set Skull Algorithm design and analysis

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A methodology for power quality evaluation in distribution network with distributed generation

A methodology for power quality evaluation in distribution n...

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International Conference on Critical Infrastructures, CRIS

作者： Gengyin Li Zhe Zhang Xiang Li Song Wang Ming Zhou Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing China Department of Electrical Engineering Tsinghua University Haidian Beijing China School of Electrical and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781424480807

The issue of power quality in the distribution system is always in sense of the concern. With the high penetration of distributed generation (DG) currently, it tends to be more complicated. This paper presents a new approach to evaluate impacts of the DG on power quality of the distribution network. In the process an objective function will be modeled, which will be solved by the optimization toolbox, in order to calculate the result for the evaluating grade. Furthermore, the results of the overall evaluation will be given via the eigenvalue weighted method. The power quality ranking of each feeder with the distributed generators in the distribution network will be apparent with the given weight of influence caused by DGs divided in forms of energy resource.

关键词： Power quality Generators Indexes Distributed power generation Eigenvalues and eigenfunctions Optimization Voltage fluctuations

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A boundary method for outlier detection based on support vector domain description

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Pattern Recognition 2009年第1期42卷 77-83页

作者： Guo, S.M. Chen, L.C. Tsai, J.S.H. Department of Computer Science and Information Engineering National Cheng-Kung University Tainan 701 Taiwan Control System Laboratory Department of Electrical Engineering National Cheng-Kung University Tainan 701 Taiwan

The support vector domain description (SVDD) is a popular kernel method for outlier detection, which tries to fit a class of data with a sphere and uses a few target objects to support its decision boundary. The problem is that even with a flexible Gaussian kernel function, the SVDD could sometimes generate such a loose decision boundary that the discrimination ability becomes poor. Therefore, a computationally intensive procedure called kernel whitening is often required to improve the performance. In this paper, we propose a simple post-processing method which tries to modify the SVDD boundary in order to achieve a tight data description with no need of kernel whitening. With the derivation of the distance between an object and its nearest boundary point in input space, the proposed method can efficiently construct a new decision boundary based on the SVDD boundary. The improvement from the proposed method is demonstrated with synthetic and real-world datasets. The results show that the proposed decision boundary can fit the shape of synthetic data distribution closely and achieves better or comparable classification performance on real-world datasets. © 2008 Elsevier Ltd. All rights reserved.

关键词： Data description

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Discrete time minimax tracking control with disturbance estimation 10

Discrete time minimax tracking control with disturbance esti...

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2009 10th European control Conference, ECC 2009

作者： Bauer, Peter Kulcsar, Balazs Bokor, Jozsef Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences BudapestH-1111 Hungary Delft Center for System and Control Faculty of Mechanical Maritime and Materials Engineering Technical University of Delft Mekelweg 2 Delft Netherlands

ISBN: (纸本)9783952417393

The paper proposes an alternative way to solve robust reference tracking problem. Instead of rejecting the effect of the disturbance directly, an intermediate step is built into the state estimation problem. The advantage of the methodology is to elaborate a modified optimal state estimation problem taking the unbiased estimate of the disturbance into account. Henceforward, the solution of the discrete time, optimal LQ minimax tracking problem is modified and subjected to attenuate the disturbance residual. The paper addresses the nominal case for constant reference and disturbance signal showing the asymptotical stability and the tracking performance of the discrete time, optimal min-max control. Suboptimal solution is given for time varying reference and disturbance signal. A linearized hovering quadrotor example demonstrates the importance of the suggested technique. © 2009 EUCA.

关键词： State estimation

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EP-based robustness analysis of optimal load allocation for boiler systems

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IMA Journal of Mathematical control and Information 2009年第2期26卷 197-211页

作者： Tsai, Jason S.H. Du, Yan Yi Dunn, Alex C. Shieh, L.S. Control System Laboratory Department of Electrical Engineering National Cheng Kung University Tainan 701 Taiwan AfriTek Inc. 14019 Halprin Creek Dr. Cypress TX 77429 United States Department of Electrical and Computer Engineering University of Houston Houston TX 77204-4005 United States

Based on evolutionary programming, a universal approach to examine the non-analytic solution robustness of an optimal allocation methodology for industrial boilers that is designed based on the second-order gradient method is proposed in this paper. The allocation algorithm is easy to implement without any specialized software and the precise robustness analysis considers the worst-case scenario when uncertainty factors are introduced into some of the boiler system parameters. © The author 2009. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

关键词： Boilers

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Wireless acoustic sensor network with compressive sampling

Wireless acoustic sensor network with compressive sampling

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IASTED International Conference on Modelling, Simulation, and Identification, MSI 2009

作者： Qiao, Daoe Luo, Hong Xu, Xiaoli Beijing Key Laboratory Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology University Beijing 100192 China School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9780889868106

We design a complete platform of wireless acoustic sensor network, featuring with compressive sampling and adaptive sampling. The compressive sampling is a new theory that combines sampling and compression into a single linear measurement process. It captures signals at a rate significantly below the Nyquist rate, and recovers exactly the original signals using convex optimization or greedy algorithm. In addition, we adopt an adaptive sampling scheme, in which the sampling rates can be changed with the running stages. The detective stage works at a lower rate than the monitoring stage. There is only one sensor node running at monitoring stage for the interested event. Through experiments, we illustrate that the wireless acoustic sensor network we built achieves dramatic low sampling rate and utilizes the network bandwidth much more effective.

关键词： Compressed sensing

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On the identification of LPV traffic flow model 10

On the identification of LPV traffic flow model

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2009 10th European control Conference, ECC 2009

作者： Luspay, T. Kulcsar, B. Van Wingerden, J.W. Verhaegen, M. Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13.-17 BudapestH-1111 Hungary Delft Center for System and Control Faculty of Mechanical Maritime and Materials Engineering Technical University of Delft Mekelweg 2 Delft Netherlands

ISBN: (纸本)9783952417393

关键词： LPV Identification Linear Parameter Varying (LPV) systems freeway traffic modeling Traffic flow Authentication Subspace systems comparison Loop detector nonlinearity Flow models

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