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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

IEEE/CAA Journal of automatica Sinica 2016年第2期3卷 113-120页

作者： Fei-Yue Wang Jun Jason Zhang Xinhu Zheng Xiao Wang Yong Yuan Xiaoxiao Dai Jie Zhang Liuqing Yang IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology the Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver the Department of Computer Science and Engineering University of Minnesota the Qingdao Academy of Intelligent Industries (QAII) Qingdao Shandong China and SKL-MCCS CASIA the Department of Electrical and Computer Engineering Colorado State University

An investigation on the impact and significance of the AlphaGo vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the AlphaGo Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence. Specifically, the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation. © 2014 Chinese Association of Automation.

关键词： Religious buildings

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A beam flexure-based nanopositioning stage supporting laser direct-write nanofabrication

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Science China(Physics,Mechanics & Astronomy) 2016年第8期59卷 50-55页

作者： Zhen Zhang Peng Wang Peng Yan YingChun Guan State Key Laboratory of Tribology and Institute of Manufacturing Engineering Department of Mechanical EngineeringTsinghua University Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control Tsinghua University State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Key Laboratory of High-efficiency and Clean Mechanical Manufacture Ministry of Education School of Mechanical EngineeringShandong University School of Automation Science and Electrical Engineering Beihang University School of Mechanical Engineering and Automation Beihang University

A nanopositioning system of both millimetric stroke and nanometric tracking accuracy is a key component for nanofabrication in many applications. In this paper, a novel bi-axial beam-flexure nano servo stage is proposed to support a direct writing system for femtosecond laser nanofabrication. The important features of the stage lie in: a mirror symmetric instead of rotational symmetric configuration is adopted to restrict cross axis coupling, and a novel Z-shaped guidance module is proposed to achieve relative large linear stiffness range, in addition a redundant constraints module is introduced to increase off-axis stiffness of the stage. Mechanical analysis and system identification are provided, with which a feedback control algorithm demonstrates the tracking capability for laser fabrication purposes. Based on the fabricated XY nano-stage, real time control and measurements are deployed, demonstrating the millimetric operating workspace and 77.8 nm(RMS) error of tracking a circular trajectory.

关键词： laser nanofabrication direct writing servo and control system

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Preface

Springer Proceedings in Advanced Robotics

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Springer Proceedings in Advanced Robotics 2018年 6卷 vii-viii页

作者： Groß, Roderich Kolling, Andreas Berman, Spring Frazzoli, Emilio Martinoli, Alcherio Matsuno, Fumitoshi Gauci, Melvin Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Arizona State University TempeAZ United States Massachusetts Institute of Technology CambridgeMA United States Lausanne Switzerland Department of Mechanical Engineering and Science Kyoto University Kyoto Japan Wyss Institute for Biologically Inspired Engineering Harvard University CambridgeMA United States

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Machine learning insights on the learning process 4

Machine learning insights on the learning process

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4th International Conference on Technological Ecosystem for Enhancing Multiculturality, TEEM 2016

作者： Laura, Fernández-Robles Hector, Alaiz-Moreton Javier, Alfonso-Cendón Manuel, Castejon-Limas Luis, Panizo-Alonso Department of Mechanical Computing and Aerospace University of León León Spain Department of Electrical Engineering and Systems and Automatic University of León León Spain

ISBN: (纸本)9781450347471

This paper reports the insights obtained during an experience on eight courses in fields of diverse nature. A methodology based on data visualization supported by multidimensional scaling is presented. These techniques might be useful for instructors interested in identifying those factors with larger impact on the learning-Teaching process. Graphical results obtained allow the visual interpretation of the students' behavior. Hidden knowledge might stem from such analyses which can reveal unknown patterns or support previous assumptions. The results obtained foster the application of these techniques as interesting feedback in order to adapt the learning-Teaching process according to the actual performance of the students,. ©2016 ACM.© 2016 ACM.

关键词： Data visualization

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Nonintrusive Appliance Load Monitoring for Smart Homes: Recent Advances and Future Issues

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IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE 2016年第3期19卷 56-62页

作者： Yu, Liu Li, Haibin Feng, Xiaowei Duan, Jizhong Technical University of Cluj Napoca Cluj-Napoca Romania Department of Electrical energy Systems and Automation Research group on Dynamical Systems and Control Ghent Belgium Department of ECE St. Joseph's College of Engineering Chennai India Department of ECE Anna University Chennai India “Gheorghe Asachi” Technical University of Iasi Romania School of Electronics Engineering VIT University Chennai India

In recent years, as Cloud Computing and Internet of Things (IoT) technologies develop rapidly, smart home technology has entered a new stage: smart electric power usage, which will break the traditional extensive management situation for electric power loads, particularly under the background of an energy crisis. People will gradually gravitate towards the demands for more energy-related and intelligent services in smart home systems such as energy saving, improved understanding of electrical consumption and electrical safety of appliances. When the power consumption is considered by a smart grid, detailed electrical information of power loads will be perceived for demand management and optimization. To address these issues, measuring and monitoring the power of residential individual appliances are highly demanded by many applications.

关键词： Home appliances Feature extraction Internet of things Harmonic analysis Current measurement Cloud computing Euclidean distance

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Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process

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IFAC-PapersOnLine 2016年第20期49卷 143-148页

作者： Baraka, Ali Panoutsos, George Cater, Stephen Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom Wallis Way CatcliffeRotherhamS60 5TZ United Kingdom

This paper introduces a perpetual type-2 Neuro-Fuzzy modelling structure for continuous learning and its application to the complex thermo-mechanical metal process of steel Friction Stir Welding (FSW). The ‘perpetual’ property refers to the capability of the proposed system to continuously learn from new process data, in an incremental learning fashion. This is particularly important in industrial/manufacturing processes, as it eliminates the need to retrain the model in the presence of new data, or in the case of any process drift. The proposed structure evolves through incremental, hybrid (supervised/unsupervised) learning, and accommodates new sample data in a continuous fashion. The human-like information capture paradigm of granular computing is used along with an interval type-2 neural-fuzzy system to develop a modelling structure that is tolerant to the uncertainty in the manufacturing data (common challenge in industrial/manufacturing data). The proposed method relies on the creation of new fuzzy rules which are updated and optimised during the incremental learning process. An iterative pruning strategy in the model is then employed to remove any redundant rules, as a result of the incremental learning process. The rule growing/pruning strategy is used to guarantee that the proposed structure can be used in a perpetual learning mode. It is demonstrated that the proposed structure can effectively learn complex dynamics of input-output data in an adaptive way and maintain good predictive performance in the metal processing case study of steel FSW using real manufacturing data. © 2016

关键词： Fuzzy logic Complex networks Friction Friction stir welding Fuzzy inference Fuzzy neural networks Fuzzy systems Granular computing Iterative methods Knowledge engineering Learning systems Manufacture Manufacturing data processing Research laboratories Uncertainty analysis Complex manufacturing process Incremental learning Metal processing Neuro fuzzy modelling perpetual learning Predictive performance Type 2 fuzzy logic system Type 2 fuzzy systems

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Unit commitment considering demand response behavior based on utility maximization

Unit commitment considering demand response behavior based o...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Zhang, Yumin Han, Xueshan Xu, Bo Zhang, Li Sun, Donglei Miao, Xiaofeng Jiang, Jiayin Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China Economic and Technology Research Institute of State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Company Yantai Electric Power Company Yantai264001 China

ISBN: (纸本)9781538614273

The active participation of demand side resources in power grid operation not only benefits the individual participant but also benefits the whole system. The optimal goal can promote by excavating the active behaviors of demand side. The welfare maximization of market participant is the driving force of such active behaviors. Considering the independence of each user's behavior, the consumer's utility function is selected to depict consumer's preference and demand response behavior. In order to coordinate the consumers' maximum welfare with social welfare maximization, consumers' utility function and units' operation cost are integrated into Unit Commitment (UC) model. The objective function is to maximize social welfare, by subtracting units' operation cost from consumers' total utility, and this objective can be acquired. Considering the proposed model should be solved in a distributed manner, the idea of the centralized coordination and the decentralized decision-making is proposed. Based on the Lagrangian relaxation (LR) principle and distributed real-time pricing scheme, a closed-loop feedback mechanism is constructed to reflect the relationship among generator output, price level, and load demand. The ten generating units example can illustrate the effectiveness of the proposed method. © 2017 IEEE.

关键词： Power markets

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Effects of diagnostic on the safety of a control system realised by safety PLC 11

Effects of diagnostic on the safety of a control system real...

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11th International Conference on ELEKTRO 2016

作者： Rástočný, Karol Ždánsky, Juraj Balák, Jozef Holečko, Peter University of Žilina Faculty of Electrical Engineering Department of Control and Information Systems Univezitná 8215/1 Žilina010 26 Slovakia

ISBN: (纸本)9781467386982

Safety programmable logic controller (S-PLC) is primarily being utilised to perform safety functions of safety-related control systems (SRCS) on the process level. The SRCS also consists of sensors output circuits (including actuators), which can take part on execution of the individual safety functions. In this case the detection of their failures and an early reaction on the detected failure can be an unavoidable mean to achieve the required safety integrity level (SIL) of the performed safety function. In SRCS with S-PLC the failure detection of sensors and output circuits has to be implemented in the application program while considering some specific properties of S-PLC. The paper deals with the new problem of some relations between S-PLC parameters, diagnostics options and mathematical expression of safety integrity of a SRCS with S-PLC. In the practical part implementation of application diagnostics in S-PLC is mentioned and results of diagnostics parameters influence on safety integrity of SRCS for selected example connected to practical applying are introduced. © 2016 IEEE.

关键词： Reliability analysis

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A bi-level trading model for an active distribution company considering demand response exchange

A bi-level trading model for an active distribution company ...

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2016 IEEE PES Asia Pacific Power and Energy engineering Conference, APPEEC 2016

作者： Cai, Yu Lin, Jin Wan, Can Song, Yonghua Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781509054183

With widely utilization of distributed generations (DGs) and demand response (DR), the active distribution network (ADN) becomes a more proactive and strategic consumer in electricity markets to procure its energy needs at the minimum cost. Under this background, this paper proposes a bi-level trading model for a strategic ADN to minimize its operation cost in the day-ahead market. The upper level model represents the cost minimization of the ADN energy acquisition with consideration of DR, and the lower level model includes the day-ahead market clearing. Based on the complementarity theory and linearization techniques, the proposed bi-level model can be transformed into a mixed integer linear programming (MILP) problem. Comprehensive case studies demonstrate the efficiency and effectiveness of the proposed strategic trading model for an ADisCo with DGs and DR with respect to nonstrategic bidding approaches. © 2016 IEEE.

关键词： Distributed power generation

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The Research of Asymmetric Parallel Gaps in EHV Transmission Lines

The Research of Asymmetric Parallel Gaps in EHV Transmission...

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2017 2nd International Conference on electrical and Electronics: Techniques and Applications（EETA2017）

作者： Jin-bo WU Zhan-qing YU Hong-jun ZHEN Chao SU Rong ZENG Jin-liang HE State Key Lab.of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Electric Power Science Institute of Yunnan Power Grid Co. Ltd

As a new kind of lightning protection, parallel gaps have simple structure, easy installation, good economy, and many other advantages. The traditional parallel gap due to the large short distance, can lead to lightning trip-out rate increases. Based on arc movement characteristics this paper presents a design of new type of parallel gaps and the analysis of the surface field strength, and the verification test, design a new kind of parallel gap are obtained.

关键词： Arc movement Parallel gaps Surface electrical field

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