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Color moving object detection method based on automatic color clustering 33

Color moving object detection method based on automatic colo...

引用

第三十三届中国控制会议

作者： LI Jing WANG Junzheng Mao Jiali Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781479947249

Moving object detection is usually used in gray image, and the color image should be converted to gray images to achieve detection. However, the color object can’t be described by simple gray information completely. In order to achieve automatic color moving object detection, the method based on automatic color clustering is especially proposed. Because the difference between adjacent pixels in an image is very small, the initial cluster center can be moved in the maximum distance. The proposed method can reduce the number of iterations and quicken convergence speed, meanwhile determine the number of color cluster and the location of the color object automatically. The proposed algorithm is validated in the actual system, experimental results show that the proposed method can automatically achieve color clustering for color image, while detect color objects.

关键词： Color clustering Color object Moving object detection

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Building GIS for Unmanned Ground Vehicles in the Urban Traffic Environment 33

Building GIS for Unmanned Ground Vehicles in the Urban Traff...

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第三十三届中国控制会议

作者： WANG Xinping WANG Meiling ZHANG Yi School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision

ISBN: (纸本)9789881563842

As an important research field of intelligent Transport system(ITS),Unmanned Ground Vehicles(UGV)can lessen traffic accidents and relieve traffic congestion by high intelligence,thereby improving the efficiency of the entire *** and more complex urban traffic environment forces UGV to perceive a lot of environmental information,and the Geographic Information system(GIS)has strong capabilities of storage and management for geographic ***,a new method for constructing GIS database is proposed in this paper,which combines the characteristics of urban traffic and needs for perceiving the environment of UGV,to assist UGV in moving in the urban traffic environment ***,Google Earth is used to create the city ***,an urban road network model is proposed and the GIS database of urban traffic environment is constructed based on the ***,the GIS database is used to achieve the least-time route based on improved Dijkstra ***,the GIS database can provide the attributive information of roads in the real vehicle experiment,which guides UGV to perceive the environment *** have shown that the proposed GIS database performs well in assisting UGV to move autonomously in the urban traffic environment.

关键词： GIS,UGV,Urban traffic environment,Database,Road network model

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Wind power forecasting based on a Markov chain model of variation

Wind power forecasting based on a Markov chain model of vari...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Jingwen Sun Zhihao Yun Jun Liang Ying Feng Tianbao Zhang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Economic & Technology Research Institute State Grid Shandong Electric Power Company Jinan China

In order to provide more decision-making information and improve the effects of probabilistic forecasting, a novel wind power probabilistic forecasting approach based on Markov chain model of variation is proposed in this paper. The transition probabilities matrix of Markov chain model is built from the variations of historical wind power data to compute probability distributions and deterministic wind generation at future moments. Refined state space is built because the value of variation is much smaller than wind generation, which could improve the prediction accuracy. The effectiveness and higher accuracy of proposed approach are proved by actual data from wind farm.

关键词： Wind power generation Markov processes Forecasting Predictive models Probabilistic logic Wind forecasting Wind farms

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Chiller gradual fault detection based on Independent Component Analysis

Chiller gradual fault detection based on Independent Compone...

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第27届中国控制与决策会议

作者： Pu Wang Jiaojiao Xin Xuejin Gao Yachao Zhang College of Electronic and Control Engineering Beijing University of Technology Engineering Research Center of Digital Community Ministry of Education Beijing Laboratory for Urban Mass Transit Beijing Key Laboratory of Computational Intelligence and Intelligent System

ISBN: (纸本)9781479970186

Aiming at the chiller process variables cannot be strictly obey the Gauss distribution,and the large number of variables between the serious correlation,this paper describes a fault detection method to detect the faults of *** Component Analysis(ICA) approach is used to extract the correlation of variables of chiller and reduce the dimension of measured data.A ICA-based method model is built to determine the thresholds of statistics and calculate statistics I2 and SPE,which are used to check if a fault occurs in *** method is validated using the laboratory data from ASHRAE RP-1043 and compared with Principle Component Analysis(PCA).Results show that the ICA-based method has better fault detection performance of *** has very good sensitivity for early fault and can effectively reduce the false alarm rate.

关键词： Fault Detection,ICA,PCA,Chiller

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Natural scene recognition based on Convolutional Neural Networks and Deep Boltzmannn Machines

Natural scene recognition based on Convolutional Neural Netw...

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IEEE International Conference on Mechatronics and Automation

作者： Jingyu Gao Jinfu Yang Jizhao Zhang Mingai Li Department of Control & Engineering Beijing University of Technology Beijing P.R. China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing P.R. China

ISBN: (纸本)9781479970995

Scene recognition is a significant topic in computer vision, and Deep Boltzmann Machines (DBM) is a state-of-the-art deep learning model which has been widely applied in object and hand written digit recognition. However, when the DBM is used in scene recognition, it is difficult to handle large images due to its computational complexity. In this paper, we present a deep learning method based on Convolutional Neural Networks (CNN) and DBM for scene image recognition. First, in order to categorize large images, the CNN is utilized to preprocess images for dimensional reduction. Then, regarding the preprocessed images as the input of the visible layer, the DBM model is trained using Contrastive Divergence (CD) algorithm. Finally, after extracting features by the DBM, the softmax regression is employed to perform scene recognition tasks. Since the CNN can reduce effectively image size, the proposed method can improve the computational efficiency and becomes more suitable for large image recognition. Experimental evaluations using SIFT Flow dataset and fifteen-scene dataset demonstrate that the proposed method can obtain promising results.

关键词： Convolution Feature extraction Sensitivity Computational modeling Training Mathematical model Kernel

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The Evaluation Method of PID controller Parameter Tuning Based on Fluent

The Evaluation Method of PID Controller Parameter Tuning Bas...

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第27届中国控制与决策会议

作者： Xuejin Gao Siyu Wang Pu Wang College of Electronic and Control Engineering Beijing University of Technology Engineering Research Center of Digital Community Ministry of Education Beijing Laboratory For Urban Mass Transit Beijing Key Laboratory of Computational Intelligence and Intelligent System

ISBN: (纸本)9781479970186

For the problem that it is difficult to evaluate overall control effects when tuning PID controller parameter,this paper propose an evaluation method tuning PID controller parameter which is based on Fluent and computer aided *** method uses Fluent to emulate controlled object,and Fluent UDF to conduct the unsteady closed-loop control,achieving evaluation for PID controller parameter *** northern platform in one of the station of the Line 5 in Beijing for example,the results show that the method can be effectively evaluate the control effects in different control parameters.

关键词： Fluent PID User-Defined Function subway station

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Observer-Based Robust Coordinated Tracking of Multi-Agent systems with Input Saturation

Observer-Based Robust Coordinated Tracking of Multi-Agent Sy...

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IEEE Annual Conference on Decision and control

作者： Xiaoling Wang Housheng Su Xiaofan Wang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781479978878

This paper addresses the robust semi-global coordinated tracking problem of multiple-input multiple-output (MIMO) multi-agent systems with input saturation and communication noise. A distributed observer-based coordinated tracking protocol is constructed by combining a novel parameterized low-and-high feedback technique with the high-gain observers design approach. It is shown that, under the assumptions that each agent is asymptotically null-controllable with bounded controls and the network is connected, semi-global consensus tracking or semi-global swarm tracking can be attained for left-invertible and minimal-phase systems.

关键词： noise(communication) bounded control tracking high gain Agents

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A Coordination control Strategy of Voltage-Source-Converter-Based MTDC for Offshore Wind Farms

A Coordination Control Strategy of Voltage-Source-Converter-...

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IEEE Transactions on Industry Applications

作者： Wang, Zhuo-Di Li, Ke-Jun Ren, Jing-Guo Sun, Li-Jun Zhao, Jian-Guo Liang, Yong-Liang Lee, Wei-Jen Ding, Zhao-Hao Sun, Ying Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Institute Jinan China State Grid of China Technology College Jinan China Energy Systems Research Center University of Texas at Arlington ArlingtonTX United States

Similar to other major electrical apparatuses, the reliability and stability of the dc network is becoming the most important issue when using the voltage-source-converter-based multiterminal dc (VSC-MTDC) system for offshore wind power integration. A coordinated control strategy of VSC-MTDC named master-auxiliary is proposed by combining the advantages of the voltage margin and voltage droop control. This strategy has three advantages. First, the master converter station with the constant dc voltage control can provide reference to the system dc voltage and is helpful for the stabilization of dc voltage. Second, the integrated control of the dc voltage in both master and auxiliary converter stations are helpful for providing adequate active power control (APC) and restraining large power variation. Third, the APC converter station can serve as a backup for the dc voltage control in abnormal conditions. In order to guarantee the reliability and stability of the system under various operating conditions, this paper introduces the priority of dc voltage control to the coordination control strategy. Moreover, a parameter optimizing method of controllers for this strategy is also proposed. Finally, the effectiveness of the master-auxiliary control is verified by simulations under normal and abnormal conditions. © 2015 IEEE.

关键词： Offshore wind farms Electric utilities system stability Voltage control Wind power Auxiliary control Coordination control Direct current Multi terminal dc Voltage source converters

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Improved ICCP Algorithm and Its Application in Gravity Matching Aided Inertial Navigation system 33

Improved ICCP Algorithm and Its Application in Gravity Match...

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第三十三届中国控制会议

作者： LIU Meiqi WANG Bo DENG Zhihong FU Mengyin School of Automation and National Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology

ISBN: (纸本)9789881563842

Considering two disadvantages in traditional gravity matching aided inertial navigation system,low matching accuracy and error accumulation,we propose an improved gravity matching algorithm and aided method for inertial navigation *** of using the sequence sampling,the single point sampling is applied to improve the structure of proposed algorithm,enhancing the matching speed and *** the aided navigation system method,we use combination of Sage-Husa adaptive filter and strong-tracked Kalman filter to make further optimal estimation of the matching *** results show the effectiveness of the real-time ICCP algorithm and the combined filter *** to the traditional methods,proposed method provides higher matching and navigation accuracy.

关键词： gravity aided navigation,single-point sampling,combined filter

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Research on Standardized Development Method of Scenario for Combat Information Simulation system 33

Research on Standardized Development Method of Scenario for ...

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第三十三届中国控制会议

作者： SUN Zhen DING Shuxin School of Automation Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education

ISBN: (纸本)9781479947249

Analysis and design of simulation scenario, design and application of scenario system are problems needed to be solved in the development and performance verification of simulation system. Consequently, a standardized development method for developing scenario based on a kind of combat information simulation system is proposed in this paper. Firstly, according to the requirements for generation of scenario which are decided by simulation system, the combining of military conceptual model and the entity oriented modeling method(EATI method) is used to build scenario structure model accurately and without distortion. Secondly, description of content and realizing form for scenario are constrained and standardized by extensible markup language(XML). Finally, a visualized and flexible scenario system model is built based on former theory analysis, which is independent of simulation system. This paper not only solves the problem existed in scenario and scenario system, but also implements rapid development of scenario, which provides important theory guiding meaning.

关键词： Scenario,Military Conceptual Model,EATI Method,XML Schema,Combat Information Simulation system

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