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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Jin Liu Juan Li Yuan Xie Jeff Lei Qiping Hu State Key Laboratory of Software Engineering Computer School Wuhan University China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation CAS China Department of Computer Science and Engineering University of Texas Arlington USA International School of Software Wuhan University China

To enhance classification performance by making use of easily available unlabelled data to overcome the scarcity of labelled data, this paper proposes an Embedded Co-Adaboost algorithm that integrates multi-view learning into the Adaboost learning framework and at the same time leverages the advantages of Co-training algorithm for performance enhancement. Experimental results demonstrate the effectiveness of the proposed algorithm in terms of the convergence rate, the accuracy, and the steady performance as compared to the original AdaBoost algorithm, without relying on redundant and sufficient feature sets. As a algorithm application in software engineering, the Embedded Co-AdaBoost has been applied to the classification of software document relations to improve the quality of the architecture design documents and the reusability of design knowledge.

关键词： Classification algorithms Training Software Accuracy Partitioning algorithms Software algorithms Convergence

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Consensus control of linear multi-agent systems with distributed adaptive protocols

Consensus control of linear multi-agent systems with distrib...

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American control Conference (ACC)

作者： Zhongkui Li Xiangdong Liu Wei Ren Lihua Xie Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Department of Electrical Engineering University of California Riverside CA USA School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781457710957

This paper considers the distributed consensus problem of multi-agent systems with general continuous-time linear time-invariant dynamics. Based on the relative output information of neighboring agents, two distributed adaptive dynamic consensus protocols are proposed, namely, the edge-based adaptive protocol which assigns a time-varying coupling weight to each edge in the communication graph and the node-based adaptive protocol which uses a time-varying coupling weight for each node. These two adaptive protocols are designed to ensure that consensus is reached in a fully distributed fashion for any undirected connected communication graphs without using any global information. A sufficient condition for the existence of these adaptive protocols is that each agent is stabilizable and detectable. The case with switching communication graphs is also studied.

关键词： Protocols Eigenvalues and eigenfunctions Couplings Switches Linear matrix inequalities Laplace equations Lyapunov methods

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Mobile sensor network node deployment via Central Voronoi Tessellation

Mobile sensor network node deployment via Central Voronoi Te...

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International Conference on intelligent control and Information Processing

作者： Xiong, R. Bai, Y.Q. Sun, W. Liu, X. Key Laboratory of Complex Systems Intelligent Control and Decision School of Automation Ministry of Education Beijing 100081 China

ISBN: (纸本)9781457708145

The present work focuses on the node deployment algorithm of Wireless Sensor Networks. The Central Voronoi Tessellation algorithm is employed to optimize the node position. The energy consumption of the whole sensor network will be minimized by using this algorithm. Simulation of the proposed algorithm shows the effectiveness of minimizing the energy consumption. © 2011 IEEE.

关键词： Energy utilization

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The research of sensor fault diagnosis based on genetic algorithm and one-against-one support vector machine

The research of sensor fault diagnosis based on genetic algo...

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International Conference on intelligent control and Information Processing (ICICIP)

作者： Xu, Lishuang Cai, Tao Deng, Fang Liu, Xin School of Automation Beijing Institute of Technology Key Laboratory of Complex Systems Intelligent Control and Decision Beijing 100081 China

ISBN: (纸本)9781457708145

Fault diagnosis based on the wavelet packet decomposition, one-against-one support vector machine (SVM) and genetic algorithm (GA) is proposed in order to realize the real-time sensor fault diagnosis accurately. The input feature vectors of one-against-one SVM are produced by wavelet packet decomposition of the sensor output signal. GA is used to obtain optimal parameters of one-against-one SVM network model automatically, which can enhance the training speed and performance. The experiments of photoelectric encoder fault diagnosis show that the combination of these methods makes SVM own a better recognition rate and overall performance, which can improve the accuracy and time efficiency of fault diagnosis. © 2011 IEEE.

关键词： Failure analysis

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Sensor fault diagnosis based on least squares support vector machine online prediction

Sensor fault diagnosis based on least squares support vector...

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2011 IEEE 5th International Conference on Robotics, automation and Mechatronics, RAM 2011

作者： Lishuang, Xu Tao, Cai Fang, Deng School of Automation Beijing Institute of Technology Key Laboratory of Complex Systems Intelligent Control and Decision Beijing 100081 China

ISBN: (纸本)9781612842509

In order to solve the challenging problem of diagnosis for sensor bias and drift faults, a method of sensor fault diagnosis based on the least squares support vector machine (LS-SVM) online prediction is proposed. In the paper, the real-time outputs of the sensor are made full use to establish LS-SVM prediction model. Through the residual which is obtained by comparing the outputs of LS-SVM prediction model and the actual output of the sensor, the real-time detection of the sensor faults can be achieved. Based on the residual sequence, the on-line identification of sensor bias fault and drift fault can be achieved as well. A model of sensor faults is established by the toolbox of matlab simulink in this paper, the simulation results show that the approach proposed can not only improve the accuracy and time efficiency of fault diagnosis, but also identify the type, size and the time of sensor faults occurred accurately. © 2011 IEEE.

关键词： Failure analysis

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Real-time algorithm for SIFT based on distributed shared memory architecture with homogeneous multi-core DSP

Real-time algorithm for SIFT based on distributed shared mem...

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International Conference on intelligent control and Information Processing (ICICIP)

作者： Liu, Xin Chen, Wenjie Ma, Tao Xu, Lishuang School of Automation Beijing Institute of Technology Key Laboratory of Complex Systems Intelligent Control and Decision Beijing 100081 China

ISBN: (纸本)9781457708145

When Multi-DSP parallel architecture transfers to distributed memory way from shared memory way, its parallelism with fine-grained become weak, and it's difficult to offer SIFT's complex computing and satisfy the need of real-time. In the paper, a parallel algorithm, based on distributed shared memory architecture with homogeneous Multi-core DSP, referring to the DSM architecture model of parallel processing machines is presented. Firstly, the master processor separates the task into several small tasks by exploiting the coarse-grained parallelism inherent;then, through a high-speed network for data-exchange, each small task transfers to a related subsystem, based on a homogeneous multi-core DSP;finally, the DSP partitions the small task across multiple cores by exploiting the fined-grained parallelism. The experimental result shows that, comparing to the traditional way, the proposed algorithm increases the speedup, calculates 45 frames on 640480 images, and achieves the real-time application. © 2011 IEEE.

关键词： HIgh speed networks

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Task allocation of multiple UAVs and targets using improved genetic algorithm

Task allocation of multiple UAVs and targets using improved ...

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International Conference on intelligent control and Information Processing

作者： Zuo, Yong Peng, Zhihong Liu, Xin Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology China

ISBN: (纸本)9781457708145

In this paper, task allocation of multi-Unmanned Aerial Vehicles (UAVs) is studied, that is, multi-UAVs from different bases should be allocated to attack multiple targets. Based on the existing task allocation model, which just take the values of targets, UAVs and weapons into account, the fuel consumption is added into consideration to make the model much more practical. An improved genetic algorithm is proposed for such a multi-UAVs multi-targets task allocation. Simulation results show that the algorithm is significantly effective and the allocation result is reasonable. © 2011 IEEE.

关键词： Genetic algorithms

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A class of uncertain chaotic systems using the fast terminal sliding mode control

A class of uncertain chaotic systems using the fast terminal...

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Chinese control Conference (CCC)

作者： Bai Yongqiang A Lata Li Xiaofang School of Automation Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China Institute of State 157 factory Chendu China

ISBN: (纸本)9781467325813

Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresponding sliding surface and controller are designed, which make the state variables of the system fast convergence to the equilibrium point in the limited time. And the examples are given to verify the feasibility of the system.

关键词： Sliding mode control Electronic mail Synchronization Chaotic communication Uncertainty Educational institutions

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Multiple moving objects detection based on level set and shadow information

Multiple moving objects detection based on level set and sha...

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International Conference on Measuring Technology and Mechatronics automation

作者： Li, Jing Wang, Junzheng Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9780769542966

In multiple moving object detection, the connection between objects and shadow always leads to the failure of object detection. To solve this problem, a new object extraction algorithm using level set is proposed and applied to detect moving vehicle in intelligent monitoring of motorway. Moving information is extracted via symmetrical difference and used in the velocity function of level set. After the first segmentation, information of object location is found. According to difference between object and shadow, velocity function is modified. After the second segmentation multiple objects and their shadow are separate. Experimental results show that the proposed algorithm is able to extract accurate contour of object effectively. Its processing speed is 24 fps and accuracy rate of shadow elimination reaches 98.6%. © 2011 IEEE.

关键词： Object detection

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Online path planning for UAV low-altitude penetration based on an improved differential evolution algorithm

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2012年第1期34卷 96-101页

作者： Peng, Zhi-Hong Sun, Lin Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Lab. of the Ministry of Education of China for Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China

An improved differential evolution algorithm was proposed for solving the online path planning problem of unmanned aerial vehicle (UAV) low-altitude penetration in partially known hostile environments. The algorithm adopts von Neumann topology and improves its structure to maintain the diversity of the population, prevent the population from falling into local optima in the early evolution and speed up the convergence rate in the later evolution as well. The mutation operator of differential evolution is improved to speed up the convergence rate of the algorithm, so that the optimal solution of the multi-objective optimization problem can be found quickly;the coding method combined the absolute Cartesian coordinates with the relative polar coordinates is used to improve the searching efficiency. The simulation experiment of online path planning for UAV low-altitude penetration shows that the proposed algorithm has a better performance than the unimproved differential evolution algorithm.

关键词： Antennas

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