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World Congress on intelligent control and Automation

作者： Yancai Xu Derong Liu Qinglai Wei Biao Luo The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781467384155

Residential energy scheduling on demand side is a hot research area for saving energy and balancing loads. In this paper, an adaptive dynamic programming method is proposed for residential energy scheduling to reduce cost between two adjacent housing units. Two sets of storage batteries and solar stations make energy scheduling problems quite complicated while using traditional methods. The scheduling algorithm is designed based on action dependent heuristic dynamic programming. In the utility function, the weighting function is given to adjust the remaining capacities of batteries. Furthermore, the temperature becomes an input of neural networks to stay close to reality. Simulation results show the effectiveness of saving cost and balancing loads.

关键词： Batteries Dynamic programming Solar energy Discharges (electric) Training Dynamic scheduling

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Prediction of Energy Consumption in Office Buildings Based on Echo state Network

Prediction of Energy Consumption in Office Buildings Based o...

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World Congress on intelligent control and Automation

作者： Guang Shi Derong Liu Qinglai Wei The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781467384155

Energy consumption of an office building is generally divided into energy consumptions from sockets, lights and air-conditioners, which are measured in each room of the office building by three ammeters installed inside, respectively. On the other hand, an office building generally consists of several types of rooms, i.e., office rooms, computer rooms, storage rooms, meeting rooms, etc., the energy consumption of which varies in accordance with different working routines in each type of room. In this paper, several novel reservoir topologies of echo state network (ESN) are proposed, and ESNs with different reservoir topologies are applied to predicting energy consumption of rooms in an office building. A case study shows that the proposed simplified reservoir topologies are sufficient to achieve outstanding performance of ESN in the prediction of building energy consumption.

关键词： Energy consumption Reservoirs Buildings Topology Training Computers Sockets energy consumption office buildings Power outlets Socket Buildings reservoirs Computers topology Functional training Rooms built structure office Electronic Serial Number Air conditioners

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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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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

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

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： Multidimensional optimization genetic algorithm Simplex algorithm Nelder-Mead algorithm Linear programming

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Decentralized adaptive neural network sliding mode control for reconfigurable manipulators with data-based modeling

Decentralized adaptive neural network sliding mode control f...

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International Joint Conference on Neural Networks (IJCNN)

作者： Yuanchun Li Guibin Ding Bo Zhao Bo Dong Guangjun Liu Department of Control Engineering Changchun University of Technology Changchun Jilin Province China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Department of Aerospace Engineering Ryerson University Toronto Ontario Canada

ISBN: (纸本)9781509006212

In this paper, a decentralized adaptive neural network sliding mode control scheme is proposed for trajectory tracking control problem of reconfigurable manipulators based on data-based modeling. This method can be implemented to reconfigurable manipulators with different configurations and degrees of freedom without modifying any control parameters. Different from the previous works, the proposed control strategy is applied to mechanism model and data-based model of reconfigurable manipulators, respectively. The data-based model which is more comprehensive and precise is trained by the BP neural network with sampled input-output data. The gradient descent method is used to attain higher identification precision. Then the asymptotical stability of the system is proved using the Lyapunov theorem. Simulations are presented to not only illustrate the effectiveness of the proposed decentralized control scheme, but make a detailed comparison for control performance of the two modeling methods.

关键词： Neural networks Manipulator dynamics Adaptation models Adaptive systems Mathematical model Decentralized control

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Automatic Busbar Detection in Substation: Using Directional Gaussian Filter, Gradient Density, Hough Transform and Adaptive Dynamic K-means Clustering 34

Automatic Busbar Detection in Substation: Using Directional ...

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第三十四届中国控制会议

作者： CHEN Hongkai SUN Shiying WANG Tianzheng ZHAO Xiaoguang TAN Min The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences State Grid Shanxi Electric Power Research Institute

ISBN: (纸本)9781467374439

As the power system developing towards the extra-high-voltage(EHV), ultra-high-voltage(UHV), and large capacity direction in China, online monitoring becomes much more vital for power equipment to ensure the safe operation of power system. The computer vision-based Equipment Map state Detection technique can capture the abnormal status of power *** busbar, as a intermediate link at all levels of voltage distribution device, is vital in system safety and stability *** this paper, we propose an automatic busbar detection method in an image for substation using directional Gaussian lter to strengthen horizontal linear target in an image, gradient density to generate a busbar con dence map, Hough Transform to detect straight lines and adaptive dynamic K-means clustering to get closed lines for optimizing. Then, the busbar can be marked in image and it can be used for further checking whether there are foreign things hanging on the busbar. Experiments on some images taken in several substations demonstrate that our method is effective.

关键词： Busbar Detection,Directional Gaussian Filter,Gradient Density,Hough Transform,Adaptive Dynamic K-means Clustering

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P-94:Distinguished Student Poster: Three Dimensional Lenticular Display Rendering Based on Light Field Acquisition

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SID Symposium Digest of Technical Papers 2017年第1期48卷

作者： Renjing Pei Zheng Geng Kui Ma Zhang Mei Wang Rong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences East Zhongguanchun Road No. 95 Haidian District Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 101408 China

Crosstalk is a critical defect affecting quality in 3D displays. Existing methods require tedious computations or device-specific optical measurements and results are often sub-optimal for 3D productions. We propose a method based on light field acquisition and optimization for crosstalk reduction. Algorithms were developed and experimental results showed superior performance.

关键词： lenticular 3D display crosstalk optimization light field light field capture

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Web Prefetching of Smart Wireless Access Point

Web Prefetching of Smart Wireless Access Point

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

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

Proven to be a viable and cost effective solution for ubiquitous internet access, wireless access network have proliferated at homes, offices, and cafes all over the globe. Being placed at the very edge of the computer network, with increasingly powerful computational ability, wireless access points are more and more suitable for deploying configurable and personalized services for mobile clients. In this paper we propose an intelligent wireless service framework over enhanced wireless access points(refered to as Smrart Wireless Access Point) that prefetch and aggregate web contents on the wired side based on user profiles and delivery it to the user in a wireless network environment. We modify the source code of browser to enhance its data collection capabilities and develop some practical smartphone applications on the mobile client-side. Additionally, we perform some caching stratagy and algorithms when a user have created considerable usage data or rated enough information. Measuring the download latency shows that DNS caching and content caching yields significant improvements in page load time. Prefetching mechanism, recommend system and some rich featured wireless local applications all benefit users much.

关键词： service Web Prefetching of Smart Wireless Access Point

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Parameter identification of plant growth models with stochastic development

Parameter identification of plant growth models with stochas...

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International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA)

作者： Mengzhen Kang Jing Hua Philippe de Reffye Marc Jaeger Qingdao Academy of Intelligent Sciences Qingdao China State Key Laboratory of Management and Control for Complex Systems CASIA Beijing China AMAP Unit CIRAD Montpellier Languedoc-Roussillon FR AMAP Unit CIRAD Montpellier Languedoc-Roussillon France LIRMM ICAR University of Montpellier France

ISBN: (纸本)9781509016600

Plant architectures generally display structural variations among individuals. Stochastic FSPMs have been developed to capture such feature, but calibrating such models is a challenging issue. For GreenLab model, parameter identification has been achieved on several crops and trees, but the estimation of functional parameters is mostly limited to plants with deterministic development. In this work, we propose a methodological framework allowing the efficient FSPM parameter estimation for stochastic ramified plants. We focus on the randomness in three kinds of meristem activities in plant development: growth, death and branching. Concepts of organic series and potential structure are introduced to build the fitting target as well as corresponding model output. We show that, with a limited set of sampled plants (here from simulation), using a few organic series, the inverse method retrieves well the parameter values (the original parameter set being known here). Requiring the concept of physiological age and the assumption of common biomass pool, the proposed approach provides a solution of solving source-sink functions of complex plant architectures, with a novel simplified way of plant sampling. The proposed parameter estimation frame is promising, since this in silico process mimics the procedure of calibrating model for real plants in a stand. Estimating parameters on stochastic plant architectures opens a new range of coming applications.

关键词： Stochastic processes Biological systems Physiology Biological system modeling Computational modeling Vegetation Biomass

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High-precision NURBS Interpolation algorithm based on the bisection method

High-precision NURBS Interpolation algorithm based on the bi...

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第三十四届中国控制会议

作者： Zheng Zhongyi Yang Chao Jing Fengshui Yang Guodong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467374439

For a high precision Non-Uniform Rational B-Spline(NURBS) interpolator, calculating the parameter of the next path interpolating point is an indispensable step, which affects feedrate fluctuation. This paper presents a new, simple and precise interpolation algorithm for parameter curve which adopts first-order Taylor's expansion, and then make use of the bisection method to achieve accurate path parameters. In the meanwhile, the interpolator is restricted from geometric and kinematical constraints. A simulation study is conducted to demonstrate the advantages of proposed interpolation algorithm compared with other algorithms for the parametric curves represented in the NURBS form.

关键词： NURBS,Interpolation,Precision,Machining

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

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 Chinese Academy of Sciences Beijing China College of Information Science and Technology Beijing University of Chemical Technology Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences China Guangdong Department of Industrial Engineering and Management Aalto University Finland SBoleni Intelligent Solutions Technology (SuZhou) Co. Ltd Joint Laboratory of Intelligent IoT & Cloud for Parallel Management & Control Suzhou China

ISBN: (纸本)9781509029280

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 IoT, 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： Three-dimensional displays Feature extraction Shape Biological system modeling Solid modeling Computational modeling Data models

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