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5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Ding, Min Ou, Yingxiong Hu, Bo She, Jinhua Wu, Min School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China State Grid Energy Research Institute Beijing102200 China School of Engineering Tokyo University of Technology Tokyo192-0982 Japan

The power from wind varies depending on the environmental factors. Because of the randomness and intermittent of wind, it is difficult for the wind energy conversion system to locate and track the maximum power point (MPP) with fast speed and high accuracy under the condition of variable wind speed. In this paper, a variable-speed wind-generator maximum power point tracking (MPPT) control method based on adaptative neuro-fuzzy inference system (ANFIS) is presented. It is designed as a combination of the Sugeno fuzzy model and neural network. The ANFIS based controller predicts the optimum speed with the inputs as the speed change and power change, and controls the speed with PI controllers. The performance of the proposed controller is tested for direct-drive permanent magnet wind turbine based wind energy conversion system under fast wind speed variation in MATLAB/Simulink. The simulation results show that the designed control method has good dynamic characteristics and steady-state accuracy in wind power MPPT and improves the working efficiency.

关键词： Wind turbines

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Random occlusion-recovery for person re-identification

arXiv

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arXiv 2018年

作者： Wu, Di Zhang, Kun Cheng, Fei Zhao, Yang Liu, Qi Yuan, Chang-An Huang, De-Shuang Institute of Machine Learning and Systems Biology School of Electronics and Information Engineering Tongji University School of Computing Edinburgh Napier University 10 Colinton Road EdinburghEH10 5DT United Kingdom Science Computing and Intelligent Information Processing of Guang Xi Higher Education Key Laboratory Guangxi Teachers Education University Nanning Guangxi530001 China Beijing E-Hualu Info Technology Co. Ltd Beijing China

As a basic task of multi-camera surveillance system, person re-identification aims to re-identify a query pedestrian observed from non-overlapping multiple cameras or across different time with a single camera. Recently, deep learning-based person re-identification models have achieved great success in many benchmarks. However, these supervised models require a large amount of labeled image data, and the process of manual labeling spends much manpower and time. In this study, we introduce a method to automatically synthesize labeled person images and adopt them to increase the sample number per identity for person re-identification datasets. To be specific, we use block rectangles to randomly occlude pedestrian images. Then, a generative adversarial network (GAN) model is proposed to use paired occluded and original images to synthesize the de-occluded images that similar but not identical to the original image. Afterwards, we annotate the de-occluded images with the same labels of their corresponding raw images and use them to augment the number of samples per identity. Finally, we use the augmented datasets to train baseline model. The experiment results on CUHK03, Market-1501 and DukeMTMC-reID datasets show that the effectiveness of the proposed method. Copyright © 2018, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Multi-switching Network Transmission Synchronization Behavior for Three Uncertain Chaotic systems with Unknown Parameters

Multi-switching Network Transmission Synchronization Behavio...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Yumei Wen Xiangyong Chen Jianlong Qiu Zhenxing Lit Chendong Yang Shandong Shanshui Cement Group Company Ltd. Jinan Shandong China School of Automation and Electrical Engineering Engineering and Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong(Linyi University) Linyi Shandong China

This paper analyzes multi-switching network transmission synchronization (MSNTS) problem among three uncertain chaotic systems with unknown parameters. By constructing the effective switching rules, the definition of MSNTS is given and the synchronization schemes are proposed to reach synchronization between any different states of each derive system and any desired states of every respond system by choosing the proper transmission path. Finally,simulation results show the feasibility of research results.

关键词： Synchronization Chaotic communication Switches Sliding mode control Lyapunov methods Companies

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A Dynamic Load Balancing Method of Cloud-Center Based on SDN

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China Communications 2016年第2期13卷 130-137页

作者： WANG Yong TAO Xiaoling HE Qian KUANG Yuwen Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems Guilin University of Electronic Technology School of Information and Communication Guilin University of Electronic Technology

In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The approach of using the SDN technology in the current task scheduling flexibility, accomplish real-time monitoring of the service node flow and load condition by the OpenFlow protocol. When the load of system is imbalanced, the controller can allocate globally network resources. What＇s more, by using dynamic correction, the load of the system is not obvious tilt in the long run. The results of simulation show that this approach can realize and ensure that the load will not tilt over a long period of time, and improve the system throughput.

关键词： SDN cloud computing data center dynamic load balancing

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A Camera Self-Calibration Method Based on Parallel QPSO

A Camera Self-Calibration Method Based on Parallel QPSO

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第36届中国控制会议

作者： QIU Huang-bin ZHANG Xin-yu DENG Fang GAO Xin School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Radio Film & TV Design and Research InstituteBeijing

In the field of machine vision,camera calibration is a key *** self-calibration,one of camera calibration methods,is only based on the images to calculate the camera’s intrinsic *** has simple calibration process and strong *** self-calibration algorithm needs to calculate the epipole and fundamental matrix by solving the Kruppa equation,but the uncertainty of the epipole always leads to large error and long operation *** improve the precision of camera calibration and reduce the time consumption,the parallel quantum particle swarm algorithm（QPSO） is introduced to solve the improved Kruppa *** can figure out the camera intrinsic parameters and transform the calculation of epipole into the adaptive value of the cost *** with the ordinary particle swarm optimization algorithm（PSO）,QPSO has less parameters,better robustness and faster convergence *** using a multi-core computer platform,its parallel processing has also combined with the characteristics of parallel computing which improves the calculation *** results show that the proposed method is more accurate than ordinary PSO,and the program time consuming is significantly reduced.

关键词： parallel computing quantum particle swarm algorithm（QPSO） camera self-calibration Kruppa equation

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H∞ state estimation for discrete time-delayed stochastic genetic regulatory networks with known sojourn probabilities 23

H∞ state estimation for discrete time-delayed stochastic ge...

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23rd IEEE International Conference on Automation and computing, ICAC 2017

作者： Wan, Xiongbo Wang, Zidong Ren, Chuanyu School of Automation China University of Geosciences Wuhan Hubei430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei430074 China Department of Computer Science Brunel University London Uxbridge MiddlesexUB8 3PH United Kingdom

ISBN: (纸本)9780701702618

This paper investigates the problem of H∞ state estimation for discrete-time stochastic genetic regulatory networks (GRNs) with switching parameters, time-varying delays, and exogenous disturbances. A new discrete-time stochastic GRN model with switching parameters is proposed by assuming that the sojourn probability of each subsystem of the GRN under consideration is known. By using the stochastic analysis approach, sufficient conditions are derived under which the augmented estimation error system is stochastically stable and satisfies a prescribed H∞ disturbance attenuation level γ. The gain matrices of the desired state estimator can be obtained by solving a matrix inequality. A numerical example is given to illustrate the effectiveness of the designed state estimator. © 2017 Chinese Automation and computing Society in the UK - CACSUK.

关键词： State estimation

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Function projective synchronization of nonlinear complex spatio-temporal networks with time-varying delays via boundary control

Function projective synchronization of nonlinear complex spa...

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2017 Chinese Automation Congress, CAC 2017

作者： Yang, Chengdong Zhang, Ancai Li, Zhenxing Chen, Xiangyong Chen, Xiao Qiu, Jianlong Wen, Yumei School of Automation Southeast University Nanjing210096 China School of Information Science and Technology Linyi University Linyi276005 China Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong Linyi University Linyi276005 China School of Automation and Electrical Engineering Linyi University Linyi276005 China Shandong Shanshui Cement Group Jinan250307 China School of Mathematics Southeast University Nanjing210096 China

ISBN: (纸本)9781538635247

This paper studies boundary control for function projective synchronization of a complex sptio-temporal network with time-varying delays and nonlinear terms satisfying the Lipschitz condition. A boundary controller based on distributed measures is studied for function projective synchronization. Using Lyapunov's direct method, the problem of existence of the controller is formulated as the feasibility problem of linear matrix inequalities (LMIs). Finally, an example shows the effectiveness of the proposed method. © 2017 IEEE.

关键词： Linear matrix inequalities

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Optimization Oriented Performance Assessment for Combustion Process of Coke Oven

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IFAC-PapersOnLine 2017年第1期50卷 13778-13783页

作者： Lei, Qi Wu, Min Liu, Guoping School of Information Science and Engineering Central South University ChangshaHunan410083 China School of Automation China University of Geosciences WuhanHubei430074 China School of Engineering University of Southwales PontypriddCF37 1DL United Kingdom Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems WuhanHubei430074 China CTGT Center Harbin Institute of Technology HaerbinHeilongjiang150001 China

This paper presents an optimization oriented performance assessment method for combustion process of coke oven by integrating analytic hierarchical process (AHP) and intuitionistic fuzzy(IF) set. An AHP model is built up including safety, stability and economic considerations. To handle the complexity in the combustion process of coke oven, where the decision maker usually has some uncertainty in assigning preference values to the index considered, the IF set is used to obtain the IF preference. Entropy and cross entropy are applied to calculate the weights of the individual indices. The comprehensive evaluation method integreated the AHP and IF can effectively solve the performance assessment for the combustion process of the coke oven. Finally, the data obtained from the process model in different operating conditions are used to demonstrate the effectiveness. © 2017

关键词： Coke ovens Coke Combustion Decision making Fuzzy sets Hierarchical systems Analytic hierarchical process Combustion pro cess Comprehensive evaluation Different operating conditions Economic considerations Entropy methods Intuitionistic fuzzy Performance assessment

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Animal migration optimization algorithm for constrained engineering optimization problems

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Journal of Computational and Theoretical Nanoscience 2016年第1期13卷 539-546页

作者： Zhou, Yongquan Luo, Qifang Ma, Mingzhi Qiao, Shilei Bao, Zongfan College of Information Science and Engineering Guangxi University for Nationalities Nanning530006 China Guangxi High School Key Laboratory of Complex System and Intelligent Computing Nanning530006 China

Animal migration optimization (AMO) is a novel bio-inspired swarm intelligent optimization algorithms based on the behavior of animal swarm migration. This paper presents a fast convergence animal migration optimization (FCAMO) algorithm to improve standard AMO of the convergence speed and precision, whose key is reduce the search space dynamically, which significantly improves the original AMO in solving complex constraint optimization problems. FCAMO is verified using constraint engineering design problems. The simulation results show that the algorithm has a good performance than that of the ABC, CS, BA and other mentioned algorithms for solving the constraint engineering problems. © 2016 American Scientific Publishers All rights reserved.

关键词： Animals

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Design and simulation of a cable-pulley-based transmission for artificial ankle joints

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Frontiers of Mechanical Engineering 2016年第2期11卷 170-183页

作者： Huaxin LIU Marco CECCARELLI Qiang HUANG Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing 100081 China Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Ministry of Education Beijing 100081 China Laboratory of Robotics and Mechatronics (LARM) DICeM University of Cassino and South Latium Cassino 03043 Italy Beijing Innovation Center for Intelligent Robots and Systems Beijing 100081 China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

In this paper, a mechanical transmission based on cable pulley is proposed for human-like actuation in the artificial ankle joints of human-scale. The anatomy articular characteristics of the human ankle is discussed for proper biomimetic inspiration in designing an accurate, efficient, and robust motion control of artificial ankle joint devices. The design procedure is presented through the inclusion of conceptual considerations and design details for an interactive solution of the transmission system. A mechanical design is elaborated for the ankle joint angular with pitch motion. A multi-body dynamic simulation model is elaborated accordingly and evaluated numerically in the ADAMS environment. Results of the numerical simulations are discussed to evaluate the dynamic performance of the proposed design solution and to investigate the feasibility of the proposed design in future applications for humanoid robots.

关键词： biomimetic designs ankle joints cable-pulleytransmissions multi-body dynamic simulation numericalcharacterization

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