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第三十四届中国控制会议

作者： Qingling Wang Changyin Sun Jian Hou Yingjiang Zhou School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerosapce Automatic Control Institute Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781467374439

This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements and with input saturation on detailed balanced directed communication topologies, where agents' dynamics are subject to uncertain and external disturbances. We first construct one distributed bounded controller for multi-agent systems without uncertain and external disturbances. Then, combined with the controller, one modifying uncertainty and disturbance estimator(UDE)is proposed to approximate the situation where neither the velocity measurements nor their asymptotic estimation is *** is shown that the synchronization errors are bounded and their ultimate bounds could be arbitrarily small by choosing some parameters appropriately. Simulation results are presented to show the effectiveness of the controllers.

关键词： Robust second-order consensus,without velocity measurements,uncertainty and disturbance estimator,input saturation.

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Data-Driven Room Classification for Office Buildings Based on Echo State Network

Data-Driven Room Classification for Office Buildings Based o...

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第27届中国控制与决策会议

作者： Guang Shi Qinglai Wei Yu Liu Qiang Guan Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479970186

In this paper,based on echo state network(ESN),a data-driven method is developed to solve the room classification problem of office *** developed method is divided into two *** the data of electricity consumption,which are classified into electricity consumption from sockets,lights and air-conditioners for a typical room in an office building,the first step is to reconstruct the behavior of electricity consumption in three types by using three *** second step is to classify the room into a certain category of office room,computer room,storage room and meeting room by establishing another *** developed method fully utilizes the outstanding performance of ESN in chaotic time-series prediction and *** study on an office building illustrates the accuracy and effectiveness of the developed method.

关键词： Data-driven room classification,Office buildings,Electricity consumption,Neural networks,Echo state network.

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A Vision-Based Recognition Method for Transformer Based on AdaBoost and Multi-Template Matching

A Vision-Based Recognition Method for Transformer Based on A...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Yang Wu Hongkai Chen Xiaoguang Zhao Yongjie Zhai School of Control and Computer Engineering North China Electric Power University The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781479987313

With the smart monitoring being widely concerned recently, substations have been introducing smart monitoring system. In this paper, we propose a vision-based recognition method for transformers in substation via combining with AdaBoost and a multi-template matching method. The proposed method works by dividing the whole process into two parts, namely coarse detection and fine recognition. In coarse detection, haar features of training samples in each sub-region are extracted and then AdaBoost algorithm is utilized for training and detecting. After coarse detection, we then perform fine recognition using multi-template matching with histogram intersection. Experimental results demonstrate that our method has a higher recognition precision and it is superior and more effective than the conventional AdaBoost method.

关键词： Transformer recognition Haar-like features AdaBoost Multi-template matching Transformer ADABOOST Recognition (Psychology) TEMPLATE MATCHING subregion Substations monitoring systems

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EMood: Modeling emotion for social media analytics on ebola disease outbreak

EMood: Modeling emotion for social media analytics on ebola ...

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2015 International Conference on Information systems: Exploring the Information Frontier, ICIS 2015

作者： Chung, Wingyan He, Saike Zeng, Daniel Institute for Simulation and Training University of Central Florida OrlandoFL United States State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Eller College of Management University of Arizona TucsonAZ United States Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780996683111

Social media enable users to express their emotion promptly, helping health policy makers to gauge public sentiment of disease outbreak. In this research, we developed an approach to social-media-based public health informatics and built a proof-of-concept system named eMood that helps to collect, analyze, and visualize Ebola outbreak discussions on Twitter. Our approach uses a comprehensive lexicon to identify emotion categories and present analysis findings of users' network relationship and influence patterns. We compared two methods of identifying user influence, user centrality and emotion entrainment, by using 255,118 tweets posted by 210,900 users in January 2015. Experimental results show that both methods identified highly influential users. Regression analysis of user influence rank and emotion scores demonstrates significant relationship between user influence and each emotion category. These results should provide strong implication for understanding social actions and for collecting social intelligence for public health informatics.

关键词： Sentiment analysis

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Optimal Stochastic Production Scheduling for Uncertain Re-entrant Assembly Workshops

Optimal Stochastic Production Scheduling for Uncertain Re-en...

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2015 4th International Conference on Computer, Mechatronics, control and Electronic Engineering (ICCMCEE 2015)

作者： Nanyun Jiang Hongsen Yan School of Automation and the MOE Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Department of Economics and Management Nanjing Technology University

ISBN: (纸本)9781510813465

An optimal stochastic problem of production scheduling for uncertain re-entrant assembly workshops(URAWs) was studied, in which the assembly process is repeated on the basis of quality inspection result and the number of repeats is uncertain. According to analysis of URAWs, a stochastic expected value model of production scheduling was built up. In order to solve the model conveniently, the model was then converted into a deterministic model. A genetic simulated annealing algorithm based on feasible region(FR-GSAA) was designed to solve this model. Finally the result of simulation examples indicates that the model and the algorithm are feasible and practical.

关键词： Uncertain Re-entrant Production Scheduling Genetic Simulated Annealing Algorithm

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Multi-Scale Wavelet Kernel Extreme Learning Machine for EEG Feature Classification

Multi-Scale Wavelet Kernel Extreme Learning Machine for EEG ...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Qi Liu Xiao-guang Zhao Zeng-guang Hou Hong-guang Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation CAS Institute of crime Chinese People's Public Security University

ISBN: (纸本)9781479987313

In this paper, the principle of the kernel extreme learning machine (ELM) is analyzed. Based on that, we introduce a kind of multi-scale wavelet kernel extreme learning machine classifier and apply it to electroencephalographic (EEG) signal feature classification. Experiments show that our classifier achieves excellent performance.

关键词： EEG classification ELM Multi-scale wavelet kernel Elm Ecosystem models Learning machines eeg feature Classifiers multi-scale Seeds wavelets Kernel

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Global Finite-Time Tracking control for Rigid Manipulators Based on Adding a Power Integrator

Global Finite-Time Tracking Control for Rigid Manipulators B...

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第三十四届中国控制会议

作者： Mohamed Elamin Sahabi Xiangyu Wang Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Faculty of Engineering Blue Nile University

ISBN: (纸本)9781467374439

This paper investigates the finite-time tracking control problem for rigid manipulator systems. The proposed controller is based on adding a power integrator technique, which guarantees global finite-time convergence of tracking errors. Compared with the backstepping control scheme, the proposed control scheme provides a faster convergence rate for the tracking error system. Simulation results show the effectiveness of the proposed control scheme.

关键词： Manipulator,tracking control,finite-time control,adding a power integrator technique

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EXPONENTIAL STABILITY OF LINEAR DISTRIBUTED PARAMETER SWITCHED systems WITH TIME-DELAY

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Journal of systems Science & complexity 2014年第2期27卷 263-275页

作者： BAO Leping FEI Shumin YU Lei The School of Automation and Key Laboratory of Measurement and Control of Complex Systems of Engineer-ing Southeast University The School of Mechanical and Electric Engineering Soochow University

In this paper, the exponential stability analysis for ODE switched systems with time delay is extended to distributed parameter switched systems(DPSS) in Hilbert space. For a given family of exponential stable subsystems, this paper focuses on finding conditions to guarantee the overall DPSS' exponential stability. Based on semigroup theory, by applying piecewise Lyapunov-Krasovskii functionals method incorporated average dwell time approach, sufficient conditions for exponential stability are derived. These conditions are given in the form of linear operator inequalities(LOIs)where the decision variables are operators in Hilbert space, and the stability properties depend on switching rule. Being applied to heat switched propagation equations, these LOIs are reduced to standard Linear Matrix Inequalities(LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed result.

关键词： Exponential stability LMIs PDEs on abstract space switched systems.

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A New Data Processing Architecture for Table Tennis Robot

A New Data Processing Architecture for Table Tennis Robot

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IEEE International Conference on Robotics and Biomimetics

作者： Jianran Liu Zaojun Fang Kun Zhang Min Tan Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China

ISBN: (纸本)9781467396769

Playing table tennis with human is a challenging work for robot. The common architecture for table tennis robot in the past researches are to gather information at first, then predict the ball status at hitting point, and the motion mechanism moves according to the prediction at last. In order to save the time for the later two steps, the gathered information is limited. In this paper, we propose a new architecture, in which the robot would keep gathering the information and amending the prediction as the motion mechanism moves. To combine the gathered information and obtain reliable prediction of hitting point, a data processing algorithm is proposed. The algorithm is based on the kinetic analysis of the ball and the extended Kalman filter. The estimation of angular velocity measurement is also improved in this algorithm. Finally, the validity of the algorithm is confirmed by conducting experiments.

关键词： robot past researches gather information

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Path planning of airfoil surface for robotic fibre placement

Path planning of airfoil surface for robotic fibre placement

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International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Lina Li Xingang Wang De Xu Min Tan Research Center of Precision Sensing and Control Chinese Academy of Sciences Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

In this paper, a new path planning algorithm based on triangular meshes of the airfoil open surface for four commonly used laying angles in robotic fibre placement is presented. In the proposed algorithm, the 0° paths are computed by the slicing method, the ±45° paths are obtained by general rotation transformation, and the method to equally divide arc is adopted to get the 90° paths which can ensure that the complete fibre tows distributed evenly on the surface connect the root and tip part. Then the redundant path points are deleted, the final path points are obtained to generate the poses of the fibre placement head which is mounted at the robot manipulator's end-effector. Finally the simulation is carried out in software RobotStudio and the effect of laying is displayed using OpenGL. The simulation results verify the effectiveness of the proposed method.

关键词： Path planning Topology Automotive components Robot kinematics Mathematical model Solid modeling

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