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Abstract and Applied Analysis 2015年第1期2015卷

作者： Wang, Zidong Shen, Bo Dong, Hongli He, Xiao Hu, Jun Department of Computer Science Brunel University London Uxbridge Middlesex UB8 3PH United Kingdom School of Information Science and Technology Donghua University Shanghai 200051 China College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Automation Tsinghua University Beijing 100084 China Department of Applied Mathematics Harbin University of Science and Technology Harbin 150080 China

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Identification of linear parameter varying systems with missing output data using generalized expectation-maximization algorithm 19

Identification of linear parameter varying systems with miss...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, X. Xiong, W. Huang, B. Gao, H. Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang150080 China Jiangnan University Wuxi Jiangsu214122 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada Research Institute of Mechatronics and Automation Bohai University Jinzhou121013 China

ISBN: (纸本)9783902823625

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. © IFAC.

关键词： Parameter estimation

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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

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

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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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Approximating probability distribution of circuit performance function for parametric yield estimation using transferable belief model

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Science China(Information Sciences) 2013年第11期56卷 106-124页

作者： XU XiaoBin ZHOU DongHua JI YinDong WEN ChengLin School of Automation and Institute of Systems Science and Control Engineering Hangzhou Dianzi University Department of Automation and Tsinghua National Laboratory for Information Science and Technology Tsinghua University Research Institute of Information Technology (RIIT) Tsinghua University

This paper applies the transferable belief model(TBM)interpretation of the Dempster-Shafer theory of evidence to approximate distribution of circuit performance function for parametric yield *** input parameters of performance function as credal variables defned on a continuous frame of real numbers,the suggested approach constructs a random set-type evidence for these *** corresponding random set of the function output is obtained by extension principle of random *** the TBM framework,the random set of the function output in the credal state can be transformed to a pignistic state where it is represented by the pignistic cumulative *** an approximation to the actual cumulative distribution,it can be used to estimate yield according to circuit response *** advantage of the proposed method over Monte Carlo(MC)methods lies in its ability to implement just once simulation process to obtain an available approximate value of yield which has a deterministic estimation *** the same error,the new method needs less number of calculations than MC methods.A track circuit of high-speed railway and a numerical eight-dimensional quadratic function examples are included to demonstrate the efciency of this technique.

关键词： Dempster-Shafer theory of evidence Monte Carlo methods parametric yield random set transferable belief model

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Neural Robust Adaptive Hypersonic Flight control without Back-stepping

Neural Robust Adaptive Hypersonic Flight Control without Bac...

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2014中国制导、导航与控制学术会议

作者： Shixing Wang Fuchun Sun Yongquan Zhang Bin Xu Yiwei Zhang Department of Control Engineering Naval Aeronautical and Astronautical UniversityYantaiChina Department of Computer Science and TechnologyTsinghua UniversityBeijingChina Systems Engineering Research InstituteChina State Shipbuilding Corporation School of AutomationNorthwestern Polytechnical UniversityXi''anChina

ISBN: (纸本)9781479946983

In this paper,one robust adaptive controller is proposed for hypersonic flight dynamics with high gain observer (HGO) and neural networks (NNs).For the attitude subsystem,it contains flight path angle,pitch angle and pitch *** avoid the complex back-stepping design,the dynamics are transformed into the normal feedback *** HGO estimating the newly defined states,the controller is proposed with error feedback,NN approximation and the robust *** is proved that the NN weights and filtered tracking error are guaranteed in the semiglobal *** simulation with March 15 is conducted to show the effectiveness of the proposed method.

关键词： adaptive control aerospace control neurocontrollers robust control HGO estimating NN approximation attitude subsystem complex backstepping design error feedback filtered tracking error flight path angle high gain observer hypersonic flight dynamics neural networks neural robust adaptive hypersonic flight control normal feedback form pitch angle pitch rate robust item semiglobal sense Adaptive systems Approximation methods Artificial neural networks Educational institutions Robustness Vectors Vehicle dynamics

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Integrated object and path demonstration for industrial robots in adaptive handling applications

Integrated object and path demonstration for industrial robo...

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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： C. F. Wu S. K. Lin J. Lambrecht T. D. Nguyen A. Vick M. Kleinsorge J. Krüger Division of Intelligent System Engineering Industrial Technology Research Institute Mechanical and Systems Research Laboratory Hsinchu Taiwan National Chiao Tung University Institute of Electrical Control Engineering Hsinchu Department Industrial Automation Technology Technische Universität Berlin Insitute for Machine Tools and Factory Management Berlin Germany

We propose an approach for integrated object and path demonstration. The main idea is to choose the motion of the robot depending on the object it grabs. When programming, an object is fixed at the robot's gripper. Path programming is done using haptic guidance. Afterwards, if a robot is handed over an object it knows before, it reproduces the path assigned to the object. Path programming and object recognition can be done with a single force/torque sensor. In our opinion, this way of programming is especially suited for creating pick and place tasks in frequently changing production environments where (re-)programming has to be done frequently.

关键词： Robot sensing systems Programming Service robots Force Grippers Training

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Phototherapy: Metal–Organic‐Framework‐Derived Mesoporous Carbon Nanospheres Containing Porphyrin‐Like Metal Centers for Conformal Phototherapy (Adv. Mater. 38/2016)

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Advanced Materials 2016年第38期28卷

作者： Shunhao Wang Lu Shang Linlin Li Yingjie Yu Chongwei Chi Kun Wang Jie Zhang Run Shi Heyun Shen Geoffrey I. N. Waterhouse Sijin Liu Jie Tian Tierui Zhang Huiyu Liu Beijing Key Laboratory of Bioprocess Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing Laboratory of Biomedical Materials Beijing University of Chemical Technology Beijing 100029 P. R. China Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco‐Environmental Sciences Chinese Academy of Sciences Beijing 100085 P. R. China University of Chinese Academy of Sciences Beijing 100049 P. R. China Beijing Institute of Nanoenergy and Nanosystems National Center for Nanoscience and Technology (NCNST) Chinese Academy of Sciences Beijing 100083 P. R. China Department of Materials Science and Engineering State University of New York at Stony Brook Stony Brook NY 11790 USA Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China School of Chemical Sciences The University of Auckland Auckland 1142 New Zealand

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Containment for double-integrator multi-agent systems in heterogeneous networks

Containment for double-integrator multi-agent systems in het...

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IEEE Annual Conference on Decision and control

作者： Jiahu Qin Wei Xing Zheng Huijun Gao Qichao Ma University of Science and Technology of China Hefei China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150080 Heilongjiang Province China Department of Automation University of Science and Technology of China Hefei China

ISBN: (纸本)9781467360890

This paper is concerned with the containment control for a group of double-integrator agents with multiple dynamic leaders communicating over heterogeneous networks, i.e., the position and velocity network topologies are modeled by different graphs. Different containment control algorithms are proposed and analyzed for the two cases that the leaders move with the same constant velocity and the same time-varying velocity, respectively. For the former case the sufficient conditions provided for guaranteeing the containment control are structural and thus easy to verify. Though the conditions proposed for the latter case that leaders move with time-varying velocity are algebraic, such algebraic conditions can be satisfied if the position and velocity network topologies among the follower agents are undirected.

关键词： Network topology Eigenvalues and eigenfunctions Educational institutions Symmetric matrices Heuristic algorithms Algorithm design and analysis Vectors

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control Lyapunov function based feedback design for quasi-polynomial systems

Control Lyapunov function based feedback design for quasi-po...

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9th IFAC Symposium on Nonlinear control systems, NOLCOS 2013

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprem Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9783902823472

The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is equivalent to the feasibility of a bilinear matrix inequality. The problem is also formulated as a control Lyapunov function based feedback design when the Lyapunov function parameters are given, the solution of this problem can be obtained by solving a linear matrix inequality. The developed method is illustrated on a simple numerical example. © IFAC.

关键词： Design

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