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American control Conference

作者： Yanyan Yin Peng Shi Fei Liu Hamid Reza Karimi Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi Jiangsu 214122 P. R. China Department of Computing and Mathematical Sciences University of Glamorgan Pontypridd CF37 1DL United Kingdom Department of Engineering Faculty of Engineering and Science University of Agder N-4898 Grimstad Norway

ISBN: (纸本)9781457710957

In this paper, we propose a method for designing continuous gain-scheduled robust H_∞ observer on a class of extended stochastic nonlinear systems subject to time delay and actuator saturation. Initially, gradient linearization procedure is applied to describe such extended nonlinear systems into several model-based linear systems. Next, a robust linear H_∞ observer is designed to such linear stochastic models. Subsequently, a convex hull set is investigated and sufficient condition is derived in terms of feedback observer to determine whether a given initial condition belongs to an ellipsoid invariant set. Finally, continuous gain-scheduled approach is employed to design continuous nonlinear observers on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.

关键词： Nonlinear stochastic system time delay Observers actuators system clock INITIAL CONDITIONS Nonlinear systems

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Human action recognition in daily living

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Journal of Computational Information Systems 2011年第10期7卷 3599-3605页

作者： Yin, Jianqin Tian, Guohui Zhou, Fengyu Jiang, Haitao School of Control Science and Engineering Shandong University Jinan 250061 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing School of Information Science and Engineering University of Jinan Jinan 250022 China

Human action recognition in daily living is a key to provide intelligent service for the service robot. But the real-time human action recognition in daily living is difficult to realize because of different views, sizes and duration time of the action. In order to solve these problems, a human action recognition scheme combined pose estimation, location and duration time is put forward in this paper. At first, Zernike moments of the object contours are extracted, and Principal Component Analysis (PCA) is used to reduce the dimension of the features. Then kNN is used to estimate the human pose on our defined pose sets. To depict the dynamic process of our pose the ratio of height and width of the object are fused;The pose index, the ratio of the height and width of the object and the location of the object are used as the observation sequence, and the Hidden Markov Models(HMMs) are designed to realize the recognition of the human action. Experimental results show that the method can efficiently solve the problems in daily living. © 2011 Binary Information Press.

关键词： Hidden Markov models

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Identification of a discrete-time piecewise affine model of a pitch-controlled wind turbine

Identification of a discrete-time piecewise affine model of ...

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作者： Vašak, Mario Hure, Nikola Perić, Nedjeljko Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 10000 Zagreb Croatia

ISBN: (纸本)9789532330670

In this work a dynamic discrete-time piecewise affine model of a pitch-controlled wind turbine is identified in the vicinity of the optimal wind turbine static characteristics. The aerodynamic rotor torque and thrust force of a 1 MW wind turbine are identified as piecewise affine static functions of wind speed, rotor speed and pitch angle using the clustering-based technique. These static functions are post-processed to rule out irregularities induced by the identification procedure and are then incorporated in a dynamic model of the wind turbine. The resulting model, that consists of 29 affine dynamics, is verified against the starting nonlinear model of the wind turbine and very good agreement with that model is obtained. The identified discrete-time piecewise affine model will be used in synthesis of optimal control laws for improving power production and reducing fatigue loads of the wind turbine. © 2011 MIPRO.

关键词： Aerodynamics

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Meteorological and weather forecast data-based prediction of electrical power delivery of a photovoltaic panel in a stochastic framework

Meteorological and weather forecast data-based prediction of...

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作者： Vašak, Mario Gulin, Marko Čeović, Josip Nikolić, Dražen Pavlović, Tomislav Perić, Nedjeljko Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 10000 Zagreb Croatia

ISBN: (纸本)9789532330670

The aim of this work is to yield a procedure for predicting expectation and covariance of power delivered by a generally tilted photovoltaic panel, based on available expectations and covariances of incident weather forecast data. The procedure consists of several steps: (i) neural-network-based identification of direct and diffuse solar irradiance models as static functions of available meteorological data;(ii) implementing the model of overall solar irradiance received on a tilted surface;(iii) determination and implementation of a thermal model of a photovoltaic panel, and (iv) implementing the unscented transformation to compute expectation and covariance of a stochastic variable after passing through a nonlinear mapping. Obtained simulation results present usefulness of the approach which is to be used within predictive control strategies of electrical storages in a microgrid with photovoltaic panels, that will optimize a combination of technical and economical criteria of the microgrid operation. © 2011 MIPRO.

关键词： Solar power generation

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Artificial neural network based prediction of optimal pseudo-damping and meta-damping in oscillatory fractional order dynamical systems

Artificial neural network based prediction of optimal pseudo...

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International Conference on Advances in engineering, Science and Management (ICAESM)

作者： Saptarshi Das Indranil Pan Khrist Sur Shantanu Das Department of Power Engineering Jadavpur University Kolkata India MERG Energy Environment Modelling and Minerals (E2M2) Research Section Department of Earth Science Imperial College London London UK Center for Soft Computing Research Indian Statistical Institute Kolkata India Reactor Control Division Bhabha Atomic Research Centre Mumbai India

This paper investigates typical behaviors like damped oscillations in fractional order (FO) dynamical systems. Such response occurs due to the presence of, what is conceived as, pseudo-damping and meta-damping in some special class of FO systems. Here, approximation of such damped oscillation in FO systems with the conventional notion of integer order damping and time constant has been carried out using Genetic Algorithm (GA). Next, a multilayer feed-forward Artificial Neural Network (ANN) has been trained using the GA based results to predict the optimal pseudo and meta-damping from knowledge of the maximum order or number of terms in the FO dynamical system.

关键词： Genetic algorithms Computer languages Damping

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Global robust output regulation of nonlinear systems subject to a nonlinear exosystem

Global robust output regulation of nonlinear systems subject...

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作者： Yang, X. Huang, J. Applied Control and Computing Laboratory Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9783902661937

The global robust output regulation problem for nonlinear plants subject to nonlinear exosystems has been a challenging problem and has not been well addressed. The main difficulty lies in finding a suitable internal model. In this paper, we first propose a new class of internal models which is guaranteed to exist under the generalized immersion condition [2]. An advantage of this internal model is that it is zero input globally asymptotically stable. This fact will facilitate the global stabilization of the augmented system associated with the given plant and the internal model. Then we will further utilize this class of internal models to solve the global robust output regulation problem for output feedback systems with a nonlinear exosystem. © 2011 IFAC.

关键词： Internal model design Nonlinear exoystem Output regulation

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Mutual information for diagnosis of AD

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Journal of the Neurological Sciences 2013年 333卷 e355-e355页

作者： M. Vališ O. Vyšata A. Procházka L. Šimůnek J. Hort L. Pazdera Department of Neurology Faculty Hospital Charles University Hradec Králové /INS；Czech Republic/INS Department of Computing and Control Engineering Institute of Chemical Technology Praque /INS；Czech Republic/INS Department of Neurology International Clinical Research Centre St. Anne'/INS；s University Hospital Brno /INS；Czech Republic/INS Department of Neurology 2nd Faculty of Medicine Charles University Praque /INS；Czech Republic/INS Motol University Hospital Praque /INS；Czech Republic/INS Neurocentre Caregroup Ltd. Rychnov nad Kneznou Czech Republic

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Tissue P systems with cell separation: attacking the partition problem

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Science China(Information Sciences) 2011年第2期54卷 293-304页

作者： ZHANG XingYi1, WANG Shuo2, NIU YunYun2 & PAN LinQiang2 1Key Lab of Intelligent computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei 230039, China 2Image Processing and Intelligent control Key Laboratory of Education Ministry of China, Department of control Science and engineering, Huazhong University of Science and Technology, Wuhan 430074, China 1. Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China2. Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.

关键词： membrane computing tissue P system cell separation partition problem

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Complete Coverage D * Algorithm for Path Planning of a Floor-Cleaning Mobile Robot

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IFAC Proceedings Volumes 2011年第1期44卷 5950-5955页

作者： Marija Dakulović Sanja Horvatić Ivan Petrović Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Croatia

Abstract Inspired by the path transform (PT) algorithm of Zelinsky et al. the novel algorithm of complete coverage called complete coverage D* (CCD*) algorithm is developed, based on the D* search of the two-dimensional occupancy grid map of the environment. Unlike the original PT algorithm the CCD* algorithm takes the robot's dimension into account, with emphasis on safety of motion and reductions of path length and search time. Additionally, the proposed CCD* algorithm has ability to produce new complete coverage path as the environment changes. The algorithms were tested on a Pioneer 3DX mobile robot equipped with a laser range finder.

关键词： mobile robot path planning obstacle avoidance robotic coverage

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