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

作者： Gang Xiong Tongkai Ji Xipeng Zhang Fenghua Zhu Wenjing Liu State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences Guangdong China

ISBN: (纸本)9781467384810

With the rapid development of latest information technology, it is inevitable to apply IoT (Internet of Things), cloud computing and big data into the industrial fields of national key sectors including transportation, electricity, metallurgy, petroleum, chemical, manufacturing, military and so on. Wireless sensor network, industrial Internet, embedded system, software for industrial control and management, and smart terminal are gradually introduced into the industrial systems, which would make the past relatively closed industrial systems more open and intelligent, and contribute to the coming forth industrial revolution. In this paper, the authors mainly discuss issues about cloud Operating System (OS) for industrial application, including cloud computing and cloud operating system introduction, current status analysis of cloud OS and the transformation trend to industrial 4.0. Then, we independently design the main content of this cloud OS, and its application prospect and expected result are given. The study provides theoretical guidance and practical challenge for the development of cloud OS oriented to industrial area.

关键词： Cloud computing Security Industries Hardware Operating systems Manufacturing Servers

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Paragraph Vector Based Retrieval Model for Similar Cases Recommendation

Paragraph Vector Based Retrieval Model for Similar Cases Rec...

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第六届全国语言动力系统研讨会

作者： Yifei Zhao Jing Wang Fei-Yue Wang Xiaobo Shi The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chine Institute of Smart Healthcare System Qingdao Academy of Intelligent Industries Qingdao China

Internet inquiry is playing an increasingly important role as the complement of the traditional medical service system,especially the similar cases *** can not only save the patients' waiting time,but also make use of the historical resources,for many cases with the same purpose have been solved ***,because of the diversity and non-standard of the patients' descriptions,the inquiry platform cannot find the cases with similar semantic *** traditional retrieval methods require the overlap of two sentences,and this is not suitable with the diversity and non-standard *** this paper,we try to utilize the sentences' semantic representation in a continuous space to understand the cases,and then recommend the similar *** also incorporate it into query likelihood language models,trying to get better *** experimental data are all collected from a real internet inquiry platform,and the results show that our methods significantly outperform the state-of-the-art translation based methods for similar cases recommendation.

关键词： internet inquiry similar cases recommendation distributed representation data mining

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Discrete-Time Nonlinear Generalized Policy Iteration for Optimal control Using Neural Networks

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8834卷 389-396页

作者： Wei, Qinglai Liu, Derong Yang, Xiong The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

In this paper, a new generalized policy iteration (GPI) based adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems for infinite horizon discrete-time nonlinear systems. The GPI algorithm is a general idea of interacting policy and value iteration algorithms of ADP. There are two iteration indices, which iterate for policy improvement and policy evaluation, respectively, in the GPI algorithm. The convergence properties of the GPI algorithm are developed. Finally, simulation results are presented to illustrate the performance of the developed algorithm. © Springer International Publishing Switzerland 2014.

关键词： Reinforcement learning

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A new approach of optimal control for a class of continuous-time chaotic systems by an online ADP algorithm

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Chinese Physics B 2014年第5期23卷 138-144页

作者：宋睿卓肖文栋魏庆来 School of Automation and Electrical Engineering University of Science and Technology Beijing The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

We develop an online adaptive dynamic programming （ADP） based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the performance index function reach an optimum. The expression of the performance index function for the chaotic system is first presented. The online ADP algorithm is presented to achieve optimal control. In the ADP structure, neural networks are used to construct a critic network and an action network, which can obtain an approximate performance index function and the control input, respectively. It is proven that the critic parameter error dynamics and the closed-loop chaotic systems are uniformly ultimately bounded exponentially. Our simulation results illustrate the performance of the established optimal control method.

关键词： adaptive dynamic programming adaptive critic designs optimal control continuous-time chaoticsystem

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Shared control for teleoperation enhanced by autonomous obstacle avoidance of robot manipulator

Shared control for teleoperation enhanced by autonomous obst...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Xinyu Wang Chenguang Yang Hongbin Ma Long Cheng Centre for Robotics and Neural Systems Plymouth University Plymouth UK State Key Lab of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Ministry of Education South China University of Technology Guangzhou China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

In this paper, a human robot shared control strategy is developed and tested on a Baxter robot. Using the proposed method, the human operator only needs to consider the motion of the end-effector of the manipulator, while the manipulator will avoid obstacle by itself without sacrificing the end effector motion performance. An improved obstacle avoidance strategy based on the joint space redundancy of the manipulator is designed. A dimension reduction method is presented to solve the over defined problem of avoiding velocity to achieve a more efficient use of the redundancy. By employment of an artificial parallel system of the teleoperate manipulator and the task switching weighting factor, the proposed control method enable the robot restoring back to the commanded pose smoothly when the obstacle is removed. By implementing the dimension reduction method, the trajectory of each joint of the manipulator can be controlled at the same time to achieve the restoring task. Thus, the proposed control method can eliminate the impact of the obstacle on the remaining task. Satisfactory experiment results demonstrate the effectiveness of the proposed methods.

关键词： Manipulators Collision avoidance Robot kinematics Trajectory Kinematics Robot sensing systems

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An Overview of Distributed High-order Multi-agent Coordination

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IEEE/CAA Journal of Automatica Sinica 2014年第1期1卷 1-9页

作者： Jie Huang Hao Fang Lihua Dou Jie Chen the School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems the Fujian Institute of Education

Research on multi-agent systems has attracted much attention in the past two decades, and numerous results have been obtained. Its widespread applications include spacecraft,mobile robots, sensor networks, etc. Most previous research works on multi-agent systems studied the first- and second-order dynamics. However, in engineering, many systems are modeled by higher-order dynamics. This paper reviews the major results and progress in distributed high-order multi-agent *** the review, a short discussion section is included to summarize the existing research and propose several promising research directions along with some open problems that are deemed important for further investigations.

关键词： Multi-agent systems Protocols Linear systems Nonlinear systems Heuristic algorithms Laplace equations

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Study of control parameters tuning method for hydro-viscous driver system

Study of control parameters tuning method for hydro-viscous ...

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International Conference on Fluid Power and Mechatronics (FPM)

作者： Ligang Ma Deyang Zhang Shoukun Wang Junzheng Wang Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China Chinese North Vehicle Research Institute Beijing China

ISBN: (纸本)9781479987719

Hydro-viscous speed clutch (HVC) is a central control element of the driver system. Because of nonlinearities and hysteresis of the clutch, the setting of control parameters has a significant impact on the performance of the speed control system. This paper studies the HVC of a vehicle temperature control system, and analyzes the parameters tuning method of a PID controller for the closed-loop control system. By employing a two-storey optimized control framework, the resulting model from identification can be used to complete the control parameters auto-tuning. Simulation and experimental results have showed that this auto-tuning method can obtain a group of parameters in terms of a desired performance index, which guarantees the balance of dynamic characteristics, stability and anti-jamming in closed-loop system.

关键词： Mathematical model Vehicles Tuning Friction Velocity control Cooling Valves

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New PEG Algorithm with Low Error Floor for Construction of Irregular LDPC Codes

New PEG Algorithm with Low Error Floor for Construction of I...

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2015 IEEE International Conference on Computer and Communications(ICCC 2015)

作者： Feijin Shi Shuangshuang Han Communications Headquarters Ministry of Foreign Affairs of the People's Republic of China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

The PEG algorithm for constructing Tanner graphs with large girth by progressively establish edges or connections between symbol and check nodes in an edge-by-edge manner is known to construct low-density parity-check codes at short block lengths with very good performance. In this paper, an improved PEG construction for irregular codes is proposed by heuristically select good codes from random graphs for short block lengths. The simulation results are presented to demonstrate the proposed algorithm provides a better BER performance for high signal-tonoise(SNR) ratios with no performance loss in low-SNR region, i.e. low error floor.

关键词： Irregular low density parity check(LDPC) codes progressive-edge-growth(PEG) algorithm girth distribution girth average

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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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A Pedestrian Detection Method Based on MBLBP Features and Intersection Kernel SVM

A Pedestrian Detection Method Based on MBLBP Features and In...

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2015年中国智能自动化学术会议

作者： Xuejie Nian Ke Xie Wankou Yang Changyin Sun School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

Pedestrian detection is a hot research topic in pattern recognition and computer vision. We combine MBBP（Multiscale Block Local Binary Patterns）feature and Histogram Intersection Kernel SVM and apply them to pedestrian detection. MBBP features, which make up for the lack of LBP（Local Binary Patterns） features in robustness, is a kind of effective texture description *** Intersection Kernel Support Vector Machine has the advantage of fast classification and high accuracy in object recognition. It can be used for further enhancing the system's real-time performance. The experiments show that the proposed approach has higher precision than the classical algorithm HOG+Linear SVM and the HOGBP Features Fusion tested on the established benchmarking datasets—INRIA.

关键词： Pedestrian detection MBLBP features HIKSVM

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