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Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques

Expert Systems with Applications 2013年第4期40卷 975-983页

作者： Y.F. Wang D.H. Wang T.Y. Chai School of Mechanical Engineering and Automation Northeastern University Shenyang Liaoning 11004 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang Liaoning 11004 China Department of Computer Science and Computer Engineering La Trobe University Melbourne VIC 3086 Australia

Vibration caused by friction, termed as friction-induced self-excited vibration (FSV), is harmful to engineering systems. Understanding this physical phenomenon and developing some strategies to effectively control the vibration have both theoretical and practical significance. This paper proposes a self-tuning active control scheme for controlling FSV in a class of mechanical systems. Our main technical contributions include: setup of a data mining based neuro-fuzzy system for modeling friction; learning algorithm for tuning the neuro-fuzzy system friction model using Lyapunov stability theory, which is associated with a compensation control scheme and guaranteed closed-loop system performance. A typical mechanical system with friction is employed in simulation studies. Results show that our proposed modeling and control techniques are effective to eliminate both the limit cycle and the steady-state error.

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Compressed sensing ensemble classifier for human detection

Compressed sensing ensemble classifier for human detection

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4th International Conference on Intelligence science and Big Data engineering, IScIDE 2013

作者： Zhang, Baochang Liu, Juan Gao, Yongsheng Liu, Jianzhuang Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering BeiHang University Beijing 100191 China School of Engineering Griffith University Australia Shenzhen Key Lab for Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Department of Information Engineering Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9783642420566

This paper proposes a novel Compressed Sensing Ensemble Classifier (CSEC) for human detection. The proposed CSEC employs the compressed sensing technique to get a more sparse model with a more reasonable selection of base classifiers. The major contributions of this paper are: 1) a novel principled framework for ensemble classifier design based on compressed sensing;2) a new concept of considering both the simplicity of ensemble classifier and irrelevance of base classifiers towards optimal classifier design;and 3) a quadratic function for CSEC optimization which includes a new optimizable positive semi-definite relevance matrix to simultaneously select appropriate base classifiers with minimized relevance. Experimental results on INRIA and SDL databases show that the performance of CSEC is better than two most popular classifiers SVM and AdaBoost, as well as a most recent method CLML. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Compressed sensing

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Method of SLAM with Kinect

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (science and Technology) 2013年第SUPPL.2期44卷 28-32页

作者： Li, Haiyang Li, Hongbo Lin, Ying Liu, Heping Yang, Dongfang School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China

A method for Kinect sensor was presented based on SLAM (simultaneous localization and mapping) problem via inverse depth parameterization model, where the depth of features from Kinect was employed to improve the convergence of method. To further improve the accuracy and robustness, SURF (speed up robust features) feature detection operator was adopted to extract image features, and extended Kalman filter (EKF) was used to estimate the trajectory of camera and the position of features. Experimental results are given to demonstrate the effectiveness and applicability of the proposed method.

关键词： Extended Kalman filters

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On variation of infinite horizon performance of model predictive control with varying receding horizon

On variation of infinite horizon performance of model predic...

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3rd IFAC Conference on Intelligent Control and automation science, ICONS 2013

作者： Cai, Xin Li, Shaoyuan Li, Ning Li, Kang Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai 200240 China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast Belfast BT7 1NN United Kingdom

ISBN: (纸本)9783902823458

This paper investigates variation of infinite horizon (IH) performance of Model Predictive Control (MPC) without constraints as the optimization horizon changes. By exploring properties of the Difference Riccati Equations (DRE), an upper bound and a lower bound of the ratio between variation of IH performance of MPC and finite horizon (FH) optimal cost are obtained. The result shows the dynamic behavior of IH performance of closed-loop MPC systems as the optimization horizon varies. Copyright © 2013 IFAC.

关键词： Model predictive control

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An association analysis between psychophysical characteristics and genome-wide gene expression changes in human adaptation to the extreme climate at the Antarctic Dome Argus

An association analysis between psychophysical characteristi...

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中华医学会第七次全国高原医学学术会议暨中国病理生理学会第九次全国缺氧和呼吸病理生理学术会议

作者： C Xu W Xu K-F Xu Q Wang Y Xiong Z Guo X Chen F Huang J Xu Y Zhong Y Zhu X Ju Y Peng L Wang X Zhang R Jiang D Li T Jiang D Xu C Jiang D Song D Tang Z Zou C Zhang T Joshi L Jia Department of Computer Science and Engineering University of CaliforniaRiversideCAUSA Department of Computer ScienceInformatics Institute and C.S.Bond Life Sciences CenterUniversity of MissouriColumbiaMOUSA United Laboratory of Polar Medical SciencesState Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical SciencesBeijingChina Department of Biochemistry and Molecular Biology State Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical SciencesPeking Union Medical CollegeTsinghua UniversityBeijingChina Center for Translational Medicine Peking Union Medical College HospitalPeking Union Medical CollegeBeijingChina School of Computer ScienceBeijing Institute of TechnologyBeijingChina Luzhou Medical School Affiliated Hospital of Traditional Chinese MedicineSichuanChina United Laboratory of Polar Medical Sciences State Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical SciencesBeijingChina Center for Translational MedicinePeking Union Medical College HospitalPeking Union Medical CollegeBeijingChina Department of Biochemistry and Molecular BiologyState Key Laboratory of Medical Molecular BiologyInstitute of Basic Medical SciencesChinese Academy of Medical SciencesPeking Union Medical CollegeTsinghua UniversityBeijingChina Institute of Basic Medical SciencesChinese Academy of Medical SciencesPeking Union Medical CollegeTsinghua UniversityBeijingChina State Key Laboratory of MycologyInstitute of MicrobiologyChinese Academy of SciencesBeijingChina MOE Key Laboratory of Bioinformatics and Bioinformatics DivisionTNLIST/Department of AutomationTsinghua UniversityBeijingChina Shanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina MOE Key Laboratory of Bioinformatics and Bioinformatics DivisionTNLIST/Department of AutomationTsinghua UniversityBeijingChina

Genome-wide gene expression measurements have enabled comprehensive studies that integrate the changes of gene expression and phenotypic information to uncover their novel *** we reported theassociation analysis between psychophysical phenotypes and genome-wide gene expression changes in human adaptation to one of the most extreme climates on Earth, the Antarctic Dome *** A is the highest ice feature in Antarctica, and may be the coldest, driest and windiest location on *** is considered unapproachable due to its hostile *** 2007, a Chinese team of 17 male explorers made the expedition to Dome A for scientific ***, 133 psychophysical phenotypes were recorded, and genome-wide gene expression profiles from the blood samples of the explorers were measured before their departure and upon their arrival at Dome *** found that mood disturbances, including tension (anxiety), depression, anger and fatigue, had a strong, positive, linear relationship with the level of a male sex hormone, testosterone, using the Pearson correlation coefficient (PCC) *** also demonstrated that significantly lowest-level Gene Ontology groups in changes of gene expression in blood cells with erythrocyte removal were consistent with the adaptation of the psychophysical ***, we discovered a list of genes that were strongly related to significant phenotypes using phenotype and gene expression PCC ***, among the 70 genes that were identified, most were significantly related to mood disturbances, where 42 genes have been reported in the literature mining, suggesting that the other 28 genes were likely novel genes involved in the mood disturbance *** together, our association analysis provides a reliable method to uncover novel genes and mechanisms related to phenotypes, although further studies are needed.

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Failure mode effect and criticality analysis of the underground mining environment detector test system

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International Journal of Applied Environmental sciences 2013年第19期8卷 2441-2448页

作者： Liu, Tianye Zhang, Zhijie Pan, Hongxia Instrumentation Science and Dynamic Measurement Key Laboratory of Ministry of Education North University of China Xueyuan Road No.3 Taiyuan 030051 China School of Computer and Control Engineering North University of China Xueyuan Road No.3 Taiyuan 030051 China School of Instrument and Electronics North University of China Xueyuan Road No.3 Taiyuan 030051 China School of Mechanical Engineering and Automation North University of China Xueyuan Road No.3 Taiyuan 030051 China

Mining comprehensive protector (hereinafter referred to as "MCP") can monitor and protect the mining environment control system, whose working status directly affects the working surface of the environment, workers' health, equipment service life and production safety. Therefore it's needed to have a regular test in use. For common failures of the MCP testing system, the reliability model of the testing system is established to analyze the failure mode, effect and criticality of each basic unit. The main factors that affect the reliability of the system have been found out and some suggestions to enhance the reliability of the system have been put forward. © Research India Publications.

关键词： Criticality (nuclear fission)

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Distributed Adaptive Learning Framework for Wide Area Monitoring of Power Systems Integrated with Distributed Generations

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Energy and Power engineering 2013年第4期5卷 962-969页

作者： Kang Li Yuanjun Guo David Laverty Haibo He Minrui Fei 1School of Electronics Electrical Engineering and Computer Science Queens University Belfast Belfast UK 2UK-China Science Bridge Joint Laboratory on Energy and Automation Shanghai University China and Queens University Belfast UK Department of Electrical Computer and Biomedical Engineering University of Rhode Island USA School of Electronics Electrical Engineering and Computer Science Queens University Belfast Belfast UK School of Mechatronics and Automation Shanghai Uni-versity China

This paper presents a preliminary study of developing a novel distributed adaptive real-time learning framework for wide area monitoring of power systems integrated with distributed generations using synchrophasor technology. The framework comprises distributed agents (synchrophasors) for autonomous local condition monitoring and fault detection, and a central unit for generating global view for situation awareness and decision making. Key technologies that can be integrated into this hierarchical distributed learning scheme are discussed to enable real-time information extraction and knowledge discovery for decision making, without explicitly accumulating and storing all raw data by the central unit. Based on this, the configuration of a wide area monitoring system of power systems using synchrophasor technology, and the functionalities for locally installed open-phasor-measurement-units (OpenPMUs) and a central unit are presented. Initial results on anti-islanding protection using the proposed approach are given to illustrate the effectiveness.

关键词： Smart Grid Anti-islanding Protection Distributed Agents Incremental Learning Monitoring and Control

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8833卷

作者： Sun, Zhenan Shan, Shiguang Sang, Haifeng Zhou, Jie Wang, Yunhong Yuan, Weiqi Chinese Academy of Sciences National Laboratory of Pattern Recognition Institute of Automation Beijing China Chinese Academy of Sciences Institute of Computing Technology Beijing China Shenyang University of Technology School of Information Science and Engineering Shenyang China Tsinghua University Software Engineering Institute Beijing China Beihang University School of Computer Science and Engineering Beijing China

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A unified optimization method for real-time trajectory generation of mobile robots with kinodynamic constraints in dynamic environment

A unified optimization method for real-time trajectory gener...

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IEEE Conference on Robotics, automation and Mechatronics

作者： Wenhao Luo Jun Peng Weirong Liu Jing Wang Wentao Yu Department of Automation Key Laboratory of System Control And Information Processing Shanghai China School of Information Science and Engineering Hunan Engineering Laboratory for Advanced Controland Intelligent Automation Changsha China Computer Engineering Program Bethune-Cookman University Daytona Beach FL USA

This paper presents an efficient analytic method for a mobile robot to determine a collision-free trajectory with unified optimization. The robot kinodynamic constraints and the geometric constraints due to obstacles are addressed by considering a set of constrained inequalities from parameterized trajectories model. Two optimal performance matrices are employed to assess optimization problems. Particularly, both the constraints and performance functions are incorporated by similar forms in terms of trajectory parameters, which thereby can be considered in a uniform way. A parameter space of adjustable trajectory parameters is constructed to solve the unified optimization problem with constraints and results in more flexible and better optimal performance. The proposed approach is complete and enhances methods of deterministic real-time planning by overcoming typical drawbacks as intermediate configuration, curvature discontinuities, vertical singularities and incomplete optimization. Simulation results verify the validity and superiority of the proposed method.

关键词： Trajectory Robot kinematics Collision avoidance Mobile robots Acceleration Optimization

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Statistical fault localization in decision support system based on probability distribution criterion

Statistical fault localization in decision support system ba...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： P. Hao Z. Zheng Y. Gao Z. Zhang Department of Automation Science and Electrical Engineering Beihang University Beijing China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479903467

Finding the location of a fault in code is an important research and practical problem, which often requires much time and manual effort. To automate this time consuming task, a class of predicate-based statistical fault localization techniques have been proposed, which test the similarity of dynamic predicate spectra between non-failed runs and failed runs and suggest suspicious predicates to the programmers to facilitate the identification of faults. However, with the existence of coincidental correctness, how to efficiently and effectively compare the difference of predicate spectra distribution has become a crucial problem to be solved. In this paper, we make use of probability distribution criterion in developing a new statistical fault localization algorithm. Instead of using geometry distance, it calculates the overlapping of dynamic predicate spectra in two communities (non-failed runs and failed runs) to evaluate the difference. Empirical results show that our technique outperforms some representative predicate-based fault localization techniques for localizing faults in most subject programs of the Siemens suite and space program. To facilitate the debugging process and provide visual help to the debugger, we also designed a system software prototype, which integrates many recent fault localization algorithms, including the one proposed in this paper.

关键词： Probability distribution Debugging Prototypes Software Fault diagnosis Heuristic algorithms Algorithm design and analysis

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