检索结果-内蒙古大学图书馆

Measurement method of vehicle yaw rate with smartphone

Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation engineering 2013年第6期13卷 61-68页

作者： Chen, Zhi-Jun Wu, Chao-Zhong Huang, Zhen Ma, Jie Gao, Yan Research Center of Intelligent Transportation System Wuhan University of Technology Wuhan 430063 Hubei China Eng. Res. Center of Min. of Educ. for Waterway and Highway Trans. Safety Control and Equipment Wuhan University of Technology Wuhan 430063 Hubei China School of Automation Wuhan University of Technology Wuhan 430063 Hubei China National Research Center of Engineering and Technology for Road Traffic Management Traffic Management Science Research Institute of Ministry of Public Security Wuxi 214151 Jiangsu China

Vehicle yaw rates were measured by smartphone and high-precision inertial navigation system (INS). The influence of smartphone places on the measurement accuracy of yaw rate was analyzed. A self-adaptive weighted fusion algorithm was applied to reduce the measurement error of built-in gyroscope and orientation sensor of smartphone. The extreme value theory of multivariable function was used to obtain the optimal weighting factors of two sensors. The best value of yaw rate was calculated by weighted summation. Analysis result indicates that the impact of smartphone position on the measurement accuracy is very small. When smartphone is not fixed at center of gravity, the maximal relative errors of yaw rates measured by two sensors of smartphone are 0.7397% and 0.9238%, respectively. Average absolute error between fused data and INS data is 0.6077(°)·s-1. Compared with the data measured by two sensors of smartphone, the average absolute error reduces by 34.3% and 50.0%, respectively. The variance of fused data declines and rapidly converges as the number of measurement increases. The convergent time is about 6 s.

关键词： Smartphones

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Data fusion for target tracking in wireless sensor networks using quantized innovations and Kalman filtering

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Science China(Information Sciences) 2012年第3期55卷 530-544页

作者： XU Jian1,2 , LI JianXun1,2 & XU Sheng3 1Department of automation, Science and Technology on Avionics Integration Laboratory, Shanghai Jiao Tong University, Shanghai 200240, China 2Department of automation, system control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai 200240, China 3School of Mechanical engineering, Shanghai Jiao Tong University, Shanghai 200240, China 1. Department of Automation Science and Technology on Avionics Integration Laboratory Shanghai Jiao Tong University Shanghai 200240 China2. Department of Automation System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai 200240 China3. School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China

A novel networked data-fusion method is developed for the target tracking in wireless sensor networks (WSNs). Specifically, this paper investigates data fusion scheme under the communication constraint between the fusion center and each sensor. Such a message constraint is motivated by the bandwidth limitation of the communication links, fusion center, and by the limited power budget of local sensors. In the proposed scheme, each sensor collects one noise-corrupted sample, performs a quantizing operation, and transmits quantized message to the fusion center. Then the fusion center combines the received quantized messages to produce a final estimate. The novel data-fusion method is based on the quantized measurement innovations and decentralized Kalman filtering (DKF) with feedback. For the proposed algorithm, the performance analysis of the estimation precision is provided. Finally, Monte Carlo simulations show the effectiveness of the proposed scheme.

关键词： data fusion target tracking limited bandwidth quantized innovation Kalman filtering

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A study on ARMA model based corporate equipment maintenance expenditure prediction

A study on ARMA model based corporate equipment maintenance ...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Lv, Minhui Zhao, Hongxia Shchool of Management Department of Equipment Economics and Management Naval University of Engineering Wuhan China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467324007

This paper focuses on macro prediction of corporate equipment maintenance expenditure, adopts ARMA to establish the model for historical data of corporate equipment maintenance expenditure and makes demand analysis and prediction so as to provide a scientific basis for decision makers in equipment maintenance expenditure prediction, and they can control the overall budget for equipment maintenance. Based on analysis and compassion of actual model calculation results, the paper reaches the conclusion that ARMA model enjoys an advantage over traditional predicting models in corporate equipment maintenance prediction. © 2012 IEEE.

关键词： Forecasting

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The extended co-learning framework for robust object tracking

The extended co-learning framework for robust object trackin...

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2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012

作者： Gong, Chen Liu, Yang Li, Tianyu Yang, Jie He, Xiangjian Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai China Faculty of Engineering and Information Technology University of Technology Sydney PO Box 123 Sydney NSW Australia

ISBN: (纸本)9781467316590

Recently, object tracking has been widely studied as a binary classification problem. Semi-supervised learning is particularly suitable for improving classification accuracy when large quantities of unlabeled samples are generated (just like tracking procedure). The purpose of this paper is to fulfill robust and stable tracking by using collaborative learning, which belongs to the scope of semi-supervised learning, among three classifiers. Different from [1], random fern classifier is incorporated to deal with 2bitBP feature newly added and certain constraints are specially implemented in our framework. Besides, the way for selecting positive samples is also altered by us in order to achieve more stable tracking. Algorithm proposed in this paper is validated by tracking pedestrian and cup under occlusion. Experiments and comparison show that our algorithm can avoid drifting problem to some degree and make tracking result more robust and adaptive. © 2012 IEEE.

关键词： Supervised learning

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A web service hierarchy algorithm based on QOS similarity

A web service hierarchy algorithm based on QOS similarity

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International Conference on Industrial control and Electronics engineering (ICICEE)

作者： Wen Zepeng Ma Lin Wang Lei Zhao Shanshan Department of automation USTC Key laboratory of network communication system and control Anhui Department of Electronic Engineering & Information Science USTC Key laboratory of network communication system and control Anhui

ISBN: (纸本)9780769547923

With the development of SOA based on web services, there are more and more web services with same interface and similar function. How to find and choose the best web service is an important problem that all SOA enterprises face. QoS is used to describe the quality criteria of a web service. In this paper, a new algorithm of web service hierarchy base on QoS similarity has been proposed, which is concerned with meeting requirements of service consumers and the satisfaction with load requirement.

关键词： SOA Web service QoS Hierarchy algorithm

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A new battery energy storage system control method based on SOC and variable filter time constant

A new battery energy storage system control method based on ...

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2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012

作者： Guo, Li Zhang, Ye Wang, Cheng Shan Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin 300072 China Key Laboratory of Power System Simulation and Control of Ministry of Education School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9781457721588

Because of large fluctuations and strong randomness of active power generated by renewable energy resources, taking into account the constraints such as battery life cycle, a new battery energy storage system control method based on real-time state-of-charge and variable filter time constant is presented. This method could compensate the fluctuation composition of a particular frequency band of power. At the same time, filter time constant is adjusted in order to stabilize the value of SOC in a certain range, and over-charging and over-discharging of the battery is avoided. A photovoltaic (PV) and battery hybrid system modeled by PSCAD is tested to verify the validity of this method. © 2012 IEEE.

关键词： Hybrid systems

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Stochastic stability of genetic regulatory networks with multiple time-varying delays

Stochastic stability of genetic regulatory networks with mul...

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2012 International Conference onAdvanced Mechatronic systems, ICAMechS 2012

作者： Wang, Yan Wang, Hong Wang, Linkun School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Control System Center University of Manchester Manchester M13 9PL United Kingdom Instrumentation Technology and Economy Institute Beijing 100055 China

ISBN: (纸本)9780955529382

This paper investigates the stochastic stability problem of genetic regulatory networks (GRNs) with multiple time-varying delays. Most of the results on the stability of GRNs with delays are based on a model in which the delays of the transcription and translation processes for each gene product take the same value. In this paper, we generalized the model to a differential equation with multiple time-varying delays. Sufficient conditions for the stochastic stability of the GRNs with stochastic noise are obtained. Finally, a simulation example is given to show the effectiveness of the proposed results. © 2012 Intl Jrnal Advanced Mech.

关键词： Differential equations

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Intervention of flocking behavior based on collision avoidance

Intervention of flocking behavior based on collision avoidan...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Yang Zhou Lin Wang Qi Chen Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Inf Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Inf Department of Civil Engineering Shanghai Jiao Tong University Shanghai 200240 China

This paper focuses on intervention of collective behavior of multi-agent systems. Distinct from the classical leader-follower method that guides group based on the inclination of convergence, here by virtue of collision avoidance in flocking behavior, we intervene in collective behavior by adding some obstacles and designing their moving strategies. A model which can be treat as a shepherding process is developed, where the sheep moves according to Boid model, and the shepherd aims to drive all sheep to a desired place. Two strategies with both global and only local information are designed for the shepherd to fulfill the intervention task. Based on Netlogo, we vividly show the shepherding process and prove the efficiency of the obstacle-avoidance method.

关键词： Intervention Multi-agent systems Collision Avoidance Shepherd

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Discrete-to-continuous dynamics reconstruction for bilinear systems

Discrete-to-continuous dynamics reconstruction for bilinear ...

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IEEE Conference on Decision and control

作者： Philipp Rumschinski Dina Shona Laila Rolf Findeisen Institute for Automation Engineering System and Control Laboratory Otto-von-Guericke University of Magdeburg Magdeburg Germany Faculty of Engineering and the Environment University of Southampton UK

In this work, we study the reconstruction of continuous-time models from discrete-time models of bilinear systems. Many dynamical systems contain nonlinearities and evolve continuously in time. However, due to the use of digital sensors for data acquisition, system identification methods typically rely on sampled data and yield a discrete-time model. Linking such a discrete-time model to its equivalent continuous-time dynamics is nontrivial. This paper proposes a discrete-to-continuous dynamics reconstruction for discrete-time models of a class of bilinear systems obtained by system identification. We show that for bilinear systems we can obtain a discrete-time model that is consistent with the measurement data. Furthermore, we show that one can derive from the discrete-time model, its equivalent continuous-time model. Two examples illustrate the approach.

关键词： Nonlinear systems Parameter estimation Data models Linear systems Numerical models Vectors Time measurement

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Effects of SiO2 particles on surface charge of epoxy nanocomposites

Effects of SiO2 particles on surface charge of epoxy nanocom...

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International Conference on High Voltage engineering and Application, ICHVE

作者： B. X. Du Li Wang J. W. Zhang Yong Liu Y Gao Key Laboratory of Power System Simulation and Control of Ministry of Education Department of Electrical Engineering School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

Epoxy used as insulating material in electronic and electrical devices plays an important role in system reliability. Addition of nanoparticles into epoxy can improve the insulating properties compared with undoped material. However, due to the change of the material structure, trap characteristics and charge behaviors are altered as a consequence. This possibly leads to a great risk of electric field distortion and discharge that degrades the insulation. From the viewpoint of safety, it is necessary to investigate the charge behavior on epoxy nanocomposites. This paper presents study aimed at clarifying the effect of nano-filler content on surface charge accumulation and decay behaviors of epoxy nanocomposites with SiO 2 particles. Samples were prepared by dispersing nano-scale SiO 2 into epoxy by mixing with shear force. Corona charging tests were performed at room temperature with a relative humidity of ~ 40%. The charge distribution was measured by means of an electrostatic voltmeter. Obtained results show the dependence of the accumulated charge as well as the charge decay rate upon the concentration of SiO 2 , varying as a function of the charge polarity, charging time and charging voltage. It is suggested that the charge dynamics is dependent upon the characteristics of localized surface states that are altered by the nanoparticles.

关键词： Surface charging Nanocomposites Nanoparticles Electrodes Dielectrics Corona Space charge

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