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IEEE International Conference on Intelligent Transportation Engineering (ICITE)

作者： Haiyang Yu Yawen Hu Hongyu Guo Lin Fang People's Republic of China Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security Hefei China School of Transportation Science and Engineering Beihang University Beijing China Infrastructure Systems and Safety Control Beihang University Beijing China Information Industry Co. Ltd. Beijing China

ISBN: (纸本)9781467390491

Tunnel moving target detection is subject to the influence of light condition and motion blur, the traditional motion detection method based on pixel points can not be very good at segmenting moving target. To solve this problem, frame difference detection method based on local structure of image and gray level information is proposed. The local mean difference information of the image is calculated by the improved algorithm, and then the similarity measure function and the gray scale measure function are constructed. The similarity measure function effectively describes the structural features of moving objects, and reduces the influence of image background information. The gray scale function is better to highlight the contrast of the target brightness, to increase the division of the target area and the background parts, and to realize the moving target detection correctly. The experimental results show that the detection method of the fusion structure and the gray level information can effectively segment the moving object.

关键词： Image segmentation Object detection Brightness Electronic mail Motion segmentation Lighting Transportation

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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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Coordinated control strategy of wind/battery energy storage system hybrid power output based on adaptive dynamic programming

Coordinated control strategy of wind/battery energy storage ...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiangjun Li Jingqiong Zhang Yuting He Dongbin Zhao Electrical Engineering and New Material Department China Electric Power Research Institute Beijing China School of Electrical and Electronic Engineering North China Electric Power University Beijing China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467384155

Based on the rate control method of the wind power fluctuation, this paper proposes an adaptive dynamic programming (ADP) based method to optimize the power of battery energy storage systems (BESS) adaptively. On the one hand, this method can be used to adjust the unstable wind and BESS hybrid power output so as to satisfy the requirements of wind power. On the other hand, this method can be used to control the battery state of charge (SOC) maintained within a suitable range, to achieve a reasonable charge and discharge function of the battery. Take a typical wind farm's output as example, under the limitation of wind power volatility and battery state of charge, this paper shows the experiment that through the real-time online optimization of the smoothing process. The simulation results show the effectiveness and feasibility of the proposed coordinated control strategy based on ADP.

关键词： Hybrid power systems Wind power generation Fluctuations Batteries State of charge Discharges (electric)

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Coordinative Passenger Flow control during Peak Hours in Urban Rail Stations 15

Coordinative Passenger Flow Control during Peak Hours in Urb...

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15th COTA International Conference of Transportation Professionals: Efficient, Safe, and Green Multimodal Transportation, CICTP 2015

作者： Wang, Lili Yan, Xuedong Zhang, Yuting State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing100044 China

ISBN: (数字)9780784479292

ISBN: (纸本)9780784479292

Passenger flow control is the main management method conducted in urban rail stations during peak hours when there are large passenger traffic demands. While stations are usually controlled independently in practice, a collaborative passenger flow control model is established based on mathematical programming to minimize the passenger delay by adopting the flow entry rate as the quantitative basis. Then the model is verified using a case study and the results show that coordinative passenger flow control method that this model put forward can effectively improve the transportation capacity utilization and reduce the number of strained passengers. Besides, a sensitivity analysis is conducted, which shows that the departure interval and conveying capacity of the train affect passenger delay most markedly in the process of passenger control. © ASCE.

关键词： Sensitivity analysis

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A Computational Experiment Research on Segmenting RTB Advertising Markets

A Computational Experiment Research on Segmenting RTB Advert...

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第七届社会计算会议

作者： Rui Qin Yong Yuan Juanjuan Li The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChine The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChine

Real Time Bidding(RTB)is emerged with the rise of Internet and big data,and it realized precision marketing through the market segmentation strategies of Demand Side Platforms(DSPs).This paper studies DSPs' strategies for market segmentation,and established a market segmentation model to find the optimal *** proposed to validate our model using a computational experiment approach,and the experimental results show that with the increasing of the market segmentation granularity,the total revenue has a tendency of a rise first and followed by a decline.

关键词： Real Time Bidding Demand Side Platforms Market Segmentation Granularity Computational Experiments Precision Marketing

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Implementing high-maneuverability swimming with biomimetic robotic fish

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Science Foundation in China 2015年第4期23卷 69-80页

作者： YU JunZhi WU ZhengXing SU ZongShuai TAN Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

In this paper,we present an overview of the mechanical design and control of biomimetic robotic fishes with high *** robotic fishes modelled after Esoxlucius adopt multilink propulsive mechanism for a high turning rate and a small turning *** to different tasks,these robotic fishes are designed with decorated pectoral fins for a two-dimensional horizon plane,or controllable pectoral fins with multiple degrees of freedom for a three-dimensional *** observing and analyzing the fast-starts of real fish,we separately develop a dynamic trajectory tracking strategy based C-start control method and an L-shaped sliding method based S-start control ***,a four-link robotic fish is able to execute C-start flexibly with a turning angle of up to 213°,a top turning rate of approximately670°/s,and an upper limit of turning precision of less than 10°and an S-start with a peak turning rate up to318.08±9.20°/*** experimental results verify the feasibility of our high-maneuverability-oriented mechatronic design and control methods.

关键词： Biomimetics Robotic fish High maneuverability Motion control

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Word Embedding Based Retrieval Model for Similar Cases Recommendation

Word Embedding Based Retrieval Model for Similar Cases Recom...

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Chinese Automation Congress

作者： Yifei Zhao Jing Wang Feiyue Wang The State Key Laboratory of Management and Control for Complex Systems CASIA

ISBN: (纸本)9781467371902

Similar cases recommendation is more and more popular in the internet inquiry. There have been lots of cases which have been solved perfectly, and recommending them to similar inquiries can not only save the patients' waiting time, but also giving more good references. However, the inquiry platform cannot understand the diversity of description, i.e. the same meaning with different description. This may shield some cases with very high quality answers. In this paper, based on deep learning, we proposed a retrieval model combining word embedding with language models. We use word embedding to solve the problem of description diversity, and then recommend the similar cases for the inquiries. The experiments are based on the data from ***, and the results show that our methods outperform the state-of-art methods.

关键词： Internet inquiry Case recommendation Word embedding Data mining

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Reactive power compensation in microgrids via distributed control strategy

Reactive power compensation in microgrids via distributed co...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiong Hu Hong Zhou Zhi-Wei Liu Zhi-Hong Guan Ming Chi Department of Automation Wuhan University P. R. China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing P. R. China College of Automation Huazhong University of Science and Technology Wuhan P. R. China

ISBN: (纸本)9781467384155

To minimize power losses in microgrids, we concentrate on reactive power compensation by microgenerators connected to microgrid via electronic interfaces. Comparing exits works, not only the constraint of power balance, but also the bounded capacity of microgenerator is taken into account. We propose a distributed algorithm for the reactive power compensation problem with a fully connected communication network, to solve the optimal reactive power compensation problem in microgrids. Case study illustrates the proposed algorithm can effectively solve the reactive power compensation problem.

关键词： Reactive power Microgrids Distributed algorithms Topology Linear programming Algorithm design and analysis Mathematical model

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Policy iteration for optimal control of weakly coupled nonlinear systems with completely unknown dynamics

Policy iteration for optimal control of weakly coupled nonli...

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American control Conference

作者： Chao Li Ding Wang Derong Liu Haibo He 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 100083 China Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston 02881 USA

ISBN: (纸本)9781467386838

In this paper, an online learning algorithm based on policy iteration is established to solve the optimal control problem for weakly coupled nonlinear continuous-time systems. Using the weak coupling theory, the original problem is transformed into three reduced-order optimal control problems. To obtain the optimal control laws without system dynamics, we construct an online data-based integral policy iteration algorithm which is used to solve the decoupled optimal control problems. The actor-critic technique based on neural networks and the least squares method are used to implement the model-free learning algorithm. A simulation example is given to verify the applicability of the developed algorithm.

关键词： Optimal control Heuristic algorithms Mathematical model System dynamics Nonlinear systems Partitioning algorithms Computational modeling

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Fault Tolerant control for Reconfigurable Manipulators Based on Adaptive Dynamic Programming with an Improved Performance Index Function

Fault Tolerant Control for Reconfigurable Manipulators Based...

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World Congress on Intelligent control and Automation

作者： Hongbing Xia Bo Zhao Fan Zhou Bo Dong Guangjun Liu Yuanchun Li Department of Control Engineering Changchun University of Technology Changchun Jilin Province China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Aerospace Engineering Ryerson University 350 Victoria St. Toronto Ontario Canada M5B 2K3

ISBN: (纸本)9781467384155

This paper investigates a novel fault tolerant control (FTC) scheme for reconfigurable manipulators with actuator failures based on adaptive dynamic programming (ADP) with an improved performance index function. With the help of fault observer, the estimated actuator failure is utilized to construct the performance index function that reflects the failure, regulation and control simultaneously. The fault tolerant controller consists of the desired controller and the approximated optimal feedback one. The desired controller is obtained by the system model directly. By establishing a critic neural network, the policy iteration (PI) algorithm is utilized to solve the Hamilton-Jacobi-Bellman (HJB) equation, and then the approximated optimal feedback controller can be derived directly. It is proven that the closed-loop system is uniformly ultimately bounded (UUB) based on Lyapunov stability theorem. Finally, the simulation study is given to show the effectiveness of the proposed FTC scheme.

关键词： Actuators Manipulators Performance analysis Optimal control Biological neural networks Observers

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