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Multi-player pursuit–evasion games with one superior evader

Automatica 2016年 71卷 24-32页

作者： Jie Chen Wenzhong Zha Zhihong Peng Dongbing Gu School of Automation Beijing Institute of Technology Beijing 100081 China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China School of Computer Science and Electronic Engineering University of Essex Colchester CO4 3SQ UK

Inspired by the hunting and foraging behaviors of group predators, this paper addresses a class of multi-player pursuit–evasion games with one superior evader, who moves faster than the pursuers. We are concerned with the conditions under which the pursuers can capture the evader, involving the minimum number and initial spatial distribution required as well as the cooperative strategies of the pursuers. We present some necessary or sufficient conditions to regularize the encirclement formed by the pursuers to the evader. Then we provide a cooperative scheme for the pursuers to maintain and shrink the encirclement until the evader is captured. Finally, we give some examples to illustrate the theoretical results.

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GA-simplex algorithm and its application: A case study of gas emission estimation

GA-simplex algorithm and its application: A case study of ga...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Hui Li Hongqiang Lv Qingqi Lin Jianwen Zhang Information Science and Technology College Beijing University of Chemical Technology Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Fluid Mechanics and Heat Transfer Laboratory Beijing University of Chemical Technology Beijing China

ISBN: (纸本)9781509029280

Among the mathematical optimization algorithms, simplex algorithm is a popular and practical algorithm which was listed as one of the top 10 algorithms of the twentieth century by the journal Computing in Science and Engineering. Although simplex algorithm is efficient in the linear programming, the quality of convergence is unacceptable in practice as a numerical breakdown of the algorithm, even for smooth and well-behaved functions. On the other hand, full convergence might be seen in genetic algorithms (GA) using only crossover. So in this paper we combine the GA and simplex algorithm by initializing simplex from the final individual in GA and getting the converged result through simplex algorithm thereafter. A case study in estimating gas emission shows noteworthy improvement of efficiency and stability, compared with GA or simplex algorithm.

关键词： Decision support systems Genetic algorithms Estimation Optimization Linear programming

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A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

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International Conference on Ubiquitous Robots and Ambient Intelligence

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical Engineering Taiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

ISBN: (纸本)9781509008223

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform (WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the classifiers. Next, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine (weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our institute, and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

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A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

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2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical EngineeringTaiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform(WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the ***, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine(weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our institute,and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

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Optical clearing mechanisms characterization in muscle

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Journal of Innovative Optical Health Sciences 2016年第5期9卷 82-100页

作者： Luís Oliveira M.Inês Carvalho Elisabete Nogueira Valery V.Tuchin Physics Department–Polytechnic Institute of Porto School of Engineering Rua Dr.Antonio Bernardino de Almeida 4314200-072 PortoPortugal FEUP–University of Porto Rua Dr.Roberto Frias 4200-465 PortoPortugal CIETI–Centre of Innovation in Engineering and Industrial Technology ISEP Rua Dr.Antonio Bernardino de Almeida4314200-072 PortoPortugal DEEC/FEUP and INESC TEC University of Porto Rua Dr.Roberto Frias 4200-465 PortoPortugal Research-Education Institute of Optics and Biophotonics Saratov National Research State University 83 Astrakhanskaya street Saratov 410012Russia Laboratory of Laser Diagnostics of Technical and Living Systems Institute of Precision Mechanics and Control RAS 24 Rabochaya street Saratov 410028Russia Interdisciplinary Laboratory of Biophotonics Tomsk National Research State University 36 Lenin's avenue Tomsk 634050Russia

Optical immersion clearing is a technique that has been widely studied for more than two decades and that is used to originate a temporary transparency effect in biological *** applied in cooperation with clinical methods it provides optimization of diagnosis and treatment *** technique turns biological tissues more transparent through two main mechanisms-tissue dehydration and refractive index(RI)matching between tissue *** matching is obtained by partial replacement of interstit ial water by a biocompat ible agent that presents higher RI and it can be completely rever sible by natural rehydration in vrivo or by assisted rehydration in ex vivo *** data to characterize and discriminate between the two mechanisms and to find new ones are *** a simple method,based on collimated transmittance and thickness measurements made from muscle samples under treatment,we have estimated the diffusion properties of glucose,ethylene glycol(EG)and water that were used to perform such char acterization and *** these properties with data from literature that characterize their diffusion in water we have observed that musde cell membrane permeability limits agent and water diffusion in the *** same experi-mental data has allowed to calculate the optical dearing(OC)eficiency and make an inter-pretation of the internal changes that occurred in muscle during the *** same methodology can now be used to perform similar studies with other agents and in other tissues in order to solve engineering problems at design of inexpensive and robust technologies for a *** improvement of optical tomogr aphic techmiques with better contrast and in depth imaging.

关键词： Collimated transmittance agent diffusivity tissue dehydration thickness variation refractive index matching glucose ethylene glycol

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Bi-objective Optimization for Robust RGB-D Visual Odometry

Bi-objective Optimization for Robust RGB-D Visual Odometry

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第27届中国控制与决策会议

作者： Tao Han Chao Xu Ryan Loxton Lei Xie State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems & Control Zhejiang University Department of Mathematics & Statistics Curtin University

This paper considers a new bi-objective optimization formulation for robust RGB-D visual *** investigate two methods for solving the proposed bi-objective optimization problem:the weighted sum method（in which the objective functions are combined into a single objective function） and the bounded objective method（in which one of the objective functions is optimized and the value of the other objective function is bounded via a constraint）.Our experimental results for the open source TUM RGB-D dataset show that the new bi-objective optimization formulation is superior to several existing RGB-D odometry *** particular,the new formulation yields more accurate motion estimates and is more robust when textural or structural features in the image sequence are lacking.

关键词： Bi-objective Optimization Visual Odometry Motion Estimation Robotics

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LOIND: An illumination and scale invariant RGB-D descriptor

LOIND: An illumination and scale invariant RGB-D descriptor

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Guanghua Feng Yong Liu Yiyi Liao Institute of Cyber-Systems and Control Zhejiang University Zhejiang China State Key Lab of Industrial Control Technology and Institute of Cyber-Systems and Control Zhejiang University Zhejiang China

ISBN: (纸本)9781479969241

We introduce a novel RGB-D descriptor called local ordinal intensity and normal descriptor (LOIND) with the integration of texture information in RGB image and geometric information in depth image. We implement the descriptor with a 3-D histogram supported by orders of intensities and angles between normal vectors, in addition with the spatial sub-divisions. The former ordering information which is invariant under the transformation of illumination, scale and rotation provides the robustness of our descriptor, while the latter spatial distribution provides higher information capacity so that the discriminative performance is promoted. Comparable experiments with the state-of-art descriptors, e.g. SIFT, SURF, CSHOT and BRAND, show the effectiveness of our LOIND to the complex illumination changes and scale transformation. We also provide a new method to estimate the dominant orientation with only the geometric information, which can ensure the rotation invariance under extremely poor illumination.

关键词： Histograms Lighting Robustness Three-dimensional displays Encoding Graphical models Distribution functions

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A Survey on Big Data for Human Body Shape

A Survey on Big Data for Human Body Shape

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Hongli Peng Xiuqin Shang Chao Guo Gang Xiong Timo R.Nyberg Dong Fan Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the rapid development of network and E-commerce technologies, promotes the development of human body big data. New technologies, such as 3D scanning and 3D printing will improve our life quality. The new socialized manufacturing network composed of Io T, advanced logistics network and 3D printers. Everyone is allowed to have chance to participate in any process of the whole production manufacturing lifecycle by some ways, such as crowdsourcing. Boosts the creation, production and consumption patterns of individuation, real-time transformation and E-commerce, possibly will lead to a new industrial revolution. In this revolutionary change wave, public concerns focus on the human body big data used for social manufacturing of wearable products or personalized medical treatment. Although many scholars have done a lot of research work, the collection of the human body shape big data still faces many challenges. There is no complete, separated theoretical research works in progress, it should be summarized and improved systematically. In this paper, we review that big data for human body shape is gaining momentum. The 3D scanning and 3D modeling of human body shape are summarized and concluded. The main applications of these big data are analyzed.

关键词： big data human body shape 3D scanning 3D modeling clothing footwear mass customization

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The Application of the Depth Camera in the Social Manufacturing: A review

The Application of the Depth Camera in the Social Manufactur...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Zhen Liang Ni Zhen Shen Chao Guo Gang Xiong Timo R.Nyberg Xiuqin Shang Shuangshuang Li Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the Information technology develops rapidly. With the development of the Information technology, the social manufacturing, a new mode of manufacturing, has been proposed. The social manufacturing combines the Internet technology, the three-dimensional scanning technology and the virtual reality technology, and is used in the apparel industry and other fashion industries for the mass customization. The three-dimensional scanning technology and the virtual fitting mirror technology are inseparable from the depth camera. Depth cameras play an important role in the social manufacturing. Manufacturers use depth cameras to obtain three-dimensional models of the body of customers to design suitable clothes. Customers can visually see the effect of clothes by using a virtual fitting mirror which is based on the depth camera. The social manufacturing makes mass customization possible, and the depth camera help develop the social manufacturing. This paper introduces the principles of depth cameras, and the application of depth cameras in the social manufacturing.

关键词： social manufacturing depth camera PMD Kinect time of flight structured light

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Optimal Self-Learning Cooperative control for Continuous-Time Heterogeneous Multi-Agent systems 34

Optimal Self-Learning Cooperative Control for Continuous-Tim...

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第三十四届中国控制会议

作者： WEI Qinglai LIU Derong SONG Ruizhuo The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781467374439

In this paper, an optimal self-learning cooperative control for heterogeneous multi-agent systems by iterative adaptive dynamic programming(ADP) is developed. The main idea is to design an optimal control law by policy iteration based ADP technique which makes all the agents track a given dynamics and simultaneously makes the iterative performance index function reach the Nash equilibrium. The cooperative policy iteration algorithm for graphical differential games is developed to achieve the optimal control law for the agent of each node. Convergence properties are analyzed which make the performance index functions of heterogeneous multi-agent differential graphical games converge to the Nash equilibrium. Simulation example is given to show the effectiveness of the developed optimal self-learning control scheme.

关键词： Adaptive Critic Designs,Adaptive Dynamic Programming,Approximate Dynamic Programming,Heterogeneous Multi-Agents,Graphical Games,Policy Iteration,Synchronization

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