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Dip Coating of Nano Hydroxyapatite on Titanium Alloy with Plasma Assistedγ-Alumina Buffer Layer:A Novel Coating Approach

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Journal of Materials Science & Technology 2013年第6期29卷 557-564页

作者： M.Khalid M.Mujahid A.Nusair Khan R.S.Rawat School of Chemical and Materials Engineering National University of Sciences and TechnologySector H-12IslamabadPakistan Institute of Industrial Control Systems RawalpindiPakistan NSSE National Institute of EducationNanyang Technological UniversitySingapore

This paper reported a novel coating approach to deposit a （HA） film on Ti6Al4V alloy with Al2O3 buffer layer for thin, crack free and nano-structured hydroxyapatite biomedical implants. The Al2O3 buffer layer was deposited by plasma spraying while the HA top layer was applied by dip coating technique. The X-ray diffraction （XRD） and Raman reflections of alumina buffer layer showed α- to γ-Al2O3 phase transformation; and the fractographic analysis of the sample revealed the formation of columnar grains in well melted splats. The bonding strength between Al2O3 coating and Ti6Al4V substrate was estimated to be about 40 MPa. The presence of dip coated HA layer was confirmed using XRD, scanning electron microscopy （SEM） and energy dispersive X-ray spectroscopy （EDX） analysis. The SEM images exhibited that HA top layer enveloped homogenously the troughs and crests of the underneath rough （Ra = 2.91 μm） Al2O3 surface. It is believed that the novel coating approach adopted might render the implant suitable for rapid cement-less fixation as well as biocompatible for longer periods.

关键词： Ti6Al4V alloy Biomaterials Buffer layer Ceramic coatings

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GEM Algorithm Based Global Identification of LPV system with Time-delay and Missing Output Data

GEM Algorithm Based Global Identification of LPV system with...

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第25届中国过程控制会议

作者： Xianqiang Yang Biao Huang Huijun Gao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Department of Chemical and Materials Engineering University of AlbertaEdmonton Alberta T6G 2G6 Canada Research Institute of Mechatronics and Automation Bohai University

This paper is concerned with the parameter estimation for linear parameter varying(LPV)systems with time-delay and completely randomly missing *** the LPV system model is often obtained in the input-output setting,the LPV input-output model is considered *** problems of time-delay and missing output data are commonly experienced in practical industrial *** LPV time-delay modeling problem with incomplete data set is formulated in the scheme of the generalized expectation-maximization(GEM)algorithm in which the time-delay and the model parameters are estimated *** numerical example is presented to demonstrate the effectiveness of the proposed method.

关键词： Linear parameter varying systems,Time-delay,Missing output data,Generalized expectation-maximization algorithm

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Identification of Linear Parameter Varying systems with Missing Output Data Using Generalized Expectation-Maximization Algorithm

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IFAC Proceedings Volumes 2014年第3期47卷 9364-9369页

作者： X. Yang W. Xiong B. Huang H. Gao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi Jiangsu 214122 China Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 2G6 Canada Research Institute of Mechatronics and Automation Bohai University Jinzhou 121013 China and Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China

This paper is concerned with the identification problems of linear parameter varying (LPV) systems with randomly missing output data. Since one local linearized model cannot capture the global dynamics of the nonlinear industrial process, the multiple-model LPV model in which the global model is constructed by smoothly weighted combination of multiple local models is considered here. The problem of missing output variables data is commonly encountered in practice. In order to handle the multiple-model identification problems of LPV systems with incomplete data, the local model is taken to have a finite impulse response (FIR) model structure and the generalized expectation-maximization (EM) algorithm is adopted to estimate the unknown parameters of the global LPV model. To avoid the problems of ill-conditioned matrices and high sensitivity of parameters to noise, the prior information on the coefficients of each local FIR model is employed to construct the prior probability of unknown parameters. Then the maximum a posteriori (MAP) estimates of the global model parameters are derived via the generalized EM algorithm. The numerical example is presented to demonstrate the effectiveness of the proposed method.

关键词： Linear parameter varying systems Generalized EM algorithm Missing output data Maximum a posteriori estimates

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

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Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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NNDOB-based Composite control for Binary Distillation Column Under Disturbances

NNDOB-based Composite Control for Binary Distillation Column...

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第三十二届中国控制会议

作者： LI Juan CHEN Xisong LI Shihua YANG Jun ZHOU Jiancheng School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationP.R.China School of Chemistry and Chemical Engineering Southeast University

ISBN: (纸本)9781479900305

This paper presents a composite disturbance rejection control strategy for high purity binary distillation column with complex characteristics,such as couplings,non-minimum phase,model mismatches and external *** goal of the controller is to get the desired top and bottom compositions in presence of both model mismatches and external *** composite controller includes neural network inverse controller(NNIC) and neural network disturbance observer(NNDOB) both using radial basis fimction network(RBFN).The inverse model of the system is identified by RBFN,whose stability is proved via the Lyapunov fimction *** a rigorous analysis is also given to show why the NNDOB can effectively suppress the *** of the proposed scheme is compared with PID and NNIC schemes in two *** feasibility, effectiveness and disturbance rejection property of the proposed method are demonstrated by the simulation studies.

关键词： Composite controller Disturbance Rejection Neural Network Disturbance Observer Binary Distillation Column.

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Adaptive predictive control using GOBF-ARX models: An experimental case study

Adaptive predictive control using GOBF-ARX models: An experi...

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10th IFAC Symposium on Dynamics and control of Process systems, DYCOPS 2013

作者： Madakyaru, Muddu Patwardhan, Sachin C. Systems and Control Engineering Indian Institute of Technology Bombay India Dept. of Chemical Engineering Indian Institute of Technology Bombay Powai Mumbai 400076 India

ISBN: (纸本)9783902823595

Industrial applications of model predictive control rely mostly on linear empirical models obtained by employing time series analysis approaches. These models can quickly become obsolete and require maintenance when the operating conditions become significantly different from the design conditions. The need to generate good predictions in the face of changing operating conditions and/or plant characteristics can be fulfilled through updating the linear model parameters online. This work is aimed at the development of adaptive MPC (AMPC) scheme based on ARX models, which are parameterized using generalized orthonormal basis filters (GOBF). The proposed model structure, in addition to capturing the dynamics with respect to the manipulated inputs, facilitates modeling of stationary as well as non-stationary components of the unmeasured disturbances. The feasibility of using the proposed AMPC scheme is established by conducting experimental studies on a benchmark Heater-Mixer setup. © IFAC.

关键词： Model predictive control

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Synchronization of Kuramoto Oscillators with Non-identical Natural Frequencies: a Quantum Dynamical Decoupling Approach

Synchronization of Kuramoto Oscillators with Non-identical N...

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IEEE Annual Conference on Decision and control

作者： Zhifei Zhang Alain Sarlette Zhihao Ling SYSTeMS research group Faculty of Engineering and Architecture Ghent University Technologiepark Zwijnaarde 914 9052 Zwijnaarde(Ghent) Belgium Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology No.130 Meilong Road Shanghai 200237 China

ISBN: (纸本)9781467360890

This paper proposes a method to counter the drift associated to unknown non-identical natural frequencies in the Kuramoto model of coupled oscillators. Inspired by the quantum dynamical decoupling technique, it builds on a time-varying variant of the dynamics to effectively bring the oscillator phases closer to the same value. This allows effective synchronization despite arbitrarily large differences in natural frequencies. For two agents admitting instantaneous position exchanges, we exactly compute how the relative phase converges to a stable periodic fixed point. The latter tends to zero when the dynamics switches at a faster rate. With continuous state evolutions, using a related dynamic controller instead of instantaneous jumps, we show with a Lyapunov function that exact phase synchronization is obtained. We generalize the method to multiple oscillators with instantaneous state exchanges, that can be implemented by cycling through a predefined or random sequence of exchanges. Simulation results illustrate the effectiveness of the algorithms.

关键词： Natural frequencies Oscillators DECOUPLING phase synchronization coupled oscillators dynamics quanta

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A hybrid stochastic-deterministic input design method for active fault diagnosis

A hybrid stochastic-deterministic input design method for ac...

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52nd IEEE Conference on Decision and control, CDC 2013

作者： Scott, Joseph K. Roberto Marseglia, G. Magni, Lalo Braatz, Richard D. Raimondo, Davide M. Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA United States Identification and Control of Dynamic Systems Laboratory University of Pavia Italy

ISBN: (纸本)9781467357173

The problem of designing an input to improve the detectability of faults has been addressed previously using both stochastic and deterministic formulations. This article presents a hybrid approach that provides a worst-case guarantee of diagnosis within a time interval [0,N], while maximizing the probability of diagnosis at some earlier time M

关键词： Fault detection

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Modeling of BOF steelmaking based on the data-driven approach

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2nd International Conference on Nanotechnology Technology and Advanced Materials, ICNTAM 2013

作者： Li, Jin Na Li, Yuan Liu, Fang Bie, Sheng Ping Tang, Cheng Chi Zhang, Xiao Ling Lab of Operation and Control Shenyang University of Chemical Technology Liaoning Shenyang 110142 China College of Information Engineering Shenyang University of Chemical Technology Liaoning Shenyang 110142 China College of Chemical Engineering Shenyang University of Chemical Technology Liaoning Shenyang 110142 China Lab of Industrial Control Networks and Systems Shenyang Institute of Automation Chinese Academy of Sciences Liaoning Shenyang 110016 China

ISBN: (纸本)9783037858752

This paper is concerned with the modeling of both endpoint temperature and carbon content for BOF steelmaking. First, a linear regression predictive model is constructed based on the linear regression analysis method. Next, the response surface analysis method is used to construct a nonlinear predictive model. The significant contribution of this paper is that response surface analysis is proposed for constructing the predictive model of BOF steelmaking. Finally, experiment simulation results show the effectiveness and advantages of the proposed methods. © (2013) Trans Tech Publications, Switzerland.

关键词： Oxygen

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Coordination of distributed model predictive controllers using price-driven coordination and sensitivity analysis

Coordination of distributed model predictive controllers usi...

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10th IFAC Symposium on Dynamics and control of Process systems, DYCOPS 2013

作者： Marti, Ruben Sarabia, Daniel Navia, Daniel De Prada, Cesar Dpt. Systems Engineering and Automatic Control University of Valladolid c/ Real de Burgos s/n 47011 Valladolid Spain Dpt. Chemical and Environmental Engineering Federico Santa Maria Technical University Santiago Chile

ISBN: (纸本)9783902823595

In this paper, a coordination control algorithm based on hierarchical scheme is presented to coordinate several non-linear model predictive controllers (NMPC) working in parallel, with an upper layer, where a price-driven coordination technique is used to drive the controllers in such a way that some global constraints are satisfied. To coordinate the lower layers, it is used a price-adjustment algorithm based on Newton's method, in which a reformulation of Fiacco's work is used in order to obtain the sensitivity analysis for a nonlinear system no matter the set of active constraints. The efficiency of the scheme is evaluated using a simulation of a four-tank benchmark. © IFAC.

关键词： Sensitivity analysis

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