基于agent形态特征的聚类分析研究与应用 -- 西北工业大学学报,2016,34(4):691-697
论文:2016,Vol:34,Issue(4):691-697
引用本文:
李哲, 慕德俊, 张天凡, 黄一杰. 基于agent形态特征的聚类分析研究与应用[J]. 西北工业大学学报
Li Zhe, Mu Dejun, Zhang Tianfan, Huang Yijie. Clustering Algorithm and its Application Base on Agent Morphology[J]. Northwestern polytechnical university

基于agent形态特征的聚类分析研究与应用
李哲, 慕德俊, 张天凡, 黄一杰
西北工业大学 自动化学院, 陕西 西安 710072
摘要:
目前在多智能体(agent)系统控制中,少量agent在行为上表现出较强的独立性,但在宏观上依然具有一定的相似性,当其规模较大时这种相似性会更加明显,但随着数量增加的同时控制系统的负担也会快速增长并导致决策延迟或无效化。提出一种基于形态特征的聚类算法,尝试将具有相似行为的agent进行聚类研究,以较少的聚类中心替代数量庞大的agent以简化分析控制流程以提高效率。通过与K-means聚类算法的对比测试与分析,该算法能够有效简化系统复杂性,提升系统性能,并具有较强的稳定性。
关键词:    图像形态学    聚类分析    机器视觉    机器学习    K-means算法   
Clustering Algorithm and its Application Base on Agent Morphology
Li Zhe, Mu Dejun, Zhang Tianfan, Huang Yijie
School of Automation, Northwestern PolytechnicalUniversity, Xi'an 710072, China
Abstract:
In multi-agent control system, a small amount of Agent showed a greater independence in behavior, but still has some similarity in macro, especially in a situation with more number of Agent is most evident in when the agent number will make the burden of control system of fast-growing and eventually led to the decision to postpone or invalidation. Clustering algorithm based on morphological characteristics of agent is proposed, try clustering research agent with similar behavior, cluster Centre substitute with less amount of agent in order to simplify the analysis of control processes to improve efficiency. Through comparison with K-means clustering algorithm testing and analysis, the algorithm can simplify the complexity; improve system performance, and better stability.
Key words:    cluster analysis    mage morphology    cluster algorithm    matlab    real time control    machine vision    machine learning    K-means algorithm   
收稿日期: 2015-10-12     修回日期:
DOI:
基金项目: 湖北省自然科学基金(2014CFB576)、湖北工程学院自然科研项目(z2013016、z201515)及湖北工程学院新技术学院自然科研项目(Hgxky14)资助
通讯作者:     Email:
作者简介: 李哲(1986-),西北工业大学博士研究生,主要从事网络信息安全、智能体协同控制的研究。
相关功能
PDF(1983KB) Free
打印本文
把本文推荐给朋友
作者相关文章
李哲  在本刊中的所有文章
慕德俊  在本刊中的所有文章
张天凡  在本刊中的所有文章
黄一杰  在本刊中的所有文章

参考文献:
[1] 茹常剑,魏瑞轩,沈东. 多无人机协同的稳定控制机理研究[J]. 物理学报,2014,63(22):13-19 Ru Changjian, Wei Ruixuan, Shen Dong. Study on Stability Control Mechanism of Multiple Unmanned Aerial Vehicle Cooperative System[J]. Acta Physica Sinica, 2014, 63(22): 13-19 (in Chinese)
[2] Liu Zhixin, Guo Lei. Synchronization of Multi-Agent Systems without Connectivity Assumptions[J]. Automatica, 2009,45(12): 2744-2753
[3] Dydek Zachary T, Annaswamy Anuradha M, Lavretsky Eugene. Adaptive Configuration Control of Multiple UAVs[J]. Control Engineering Practice, 2013, 21(8): 1043-1052
[4] 蔡诚,王敏. 结合分层阈值和形态学滤波的小目标检测方法[J]. 华中科技大学学报, 2013,41(1):157-159 Cai Cheng, Wang Min. Small Target Detection Method Based on Layered Threshold and Morphology Filtering[J]. Journal of Huazhong University of Science and Technology, 2013,41(1): 157-159 (in Chinese)
[5] 胡健,孙金花. 基于系统能量理论的多目标优化聚类集成研究[J]. 计算机工程与应用,2011,47(36):9-11 Hu Jian, Sun Jinhua. Multi-Objective Cluster Ensemble with System Energy Theory[J]. Computer Engineering and Applications, 2011, 47(36): 9-11 (in Chinese)
[6] Jansson Jonas, Gustafsson Fredrik. A Framework and Automotive Application of Collision Avoidance Decision Making[J]. Automatica, 2008, 44(9): 2347-2351
[7] 张伟,王军锋,王涛,等. 一种基于改进算子的形态学边缘检测算法[J]. 计算机技术与发展,2013,23(6):23-26 Zhang Wei, Wang Junfeng, Wang Tao, et al. An Improved Edge Detection Algorithm Based on Morphologic Operators[J]. Computer Technology and Development, 2013, 23(6): 23-26 (in Chinese)
[8] Jesmin F, Reza R, Sharif M A. A Customized Gabor Filter for Unsupervised Color Image Segmentation[J]. Image and Vision Computing, 2009, 27(4): 489-501
[9] Deng Zhenghong, Wang Meijing, Bai Xiaoping. A New Multi-Focus Image Fusion Algorithm Based on Contrast Ratio and Discrete Wavelet Frame Transform[C]//2nd International Conference on Advanced Engineering Materials and Technology, 2012: 1011-1018
[10] 蔡自兴,陈白帆,刘丽珏,等. 多移动机器人协同原理与技术[M]. 北京:国防工业出版社,2011: 5-8 Cai Zixing, Cheng Baifan, Liu liyu, et al. Principles and Techniques of Cooperative Multiple Mobile Robots[M]. Beijing, National Defense Industry Press, 2011: 5-8 (in Chinese)
[11] 翟东海,鱼江,高飞,等. 最大距离法选取初始簇中心的K-Means文本聚类算法的研究[J]. 计算机应用研究, 2014, 31(3): 713-719 Zhai Donghai, Yu Jiang, Gao Fei, et al. K-Means text Clustering Algorithm Based on Initial Cluster Centers Selection According to Maximum Distance[J]. Application Research of Computers, 2014, 31(3): 713-719 (in Chinese)
[12] 吴明晖,张红喜,金苍宏,等. 一种基于边缘度密度距的聚类算法[J]. 计算机科学,2014, 41(8): 245-249 Wu Minghui, Zhang Hongxi, Jing Canghong, et al. Cluster Algorithm Based on Edge Density Distance[J]. Computer Science, 2014, 41(8): 245-249 (in Chinese)
[13] 杨鹏. 改进的数学形态学小波图像融合算法[J]. 计算机仿真,2011,28(2): 288-291 Yang Peng. Improved Morphology Wavelets Image Fusion Algorithm[J]. Computer Simulation, 2011, 28(2): 288-291 (in Chinese)
[14] 杨鹏,谢立,刘济林. 基于Zernike矩的高精度太阳图像质心提取算法[J]. 宇航学报,2011,32(9):1963-1969 Yang Peng, Xie Li, Liu Jilin. Zernike Moment Based High-Accuracy Sun Image Centroid Algorithm[J]. Journal of Astronautics, 2011, 32(9): 1963-1969 (in Chinese)
[15] 李虎俊,郭蓝天,卢军,等. 基于二次质心的无线传感器网络定位算法[J]. 现代电子技术,2014,(23):37 Li HuJun, Guo Lantian, Lu Jun, et al. Twice Centroid Based Localization Algorithm for Wireless Sensor Network[J]. Modern Electronics Technique, 2014,(23):37 (in Chinese)
[16] Deng Zhenghong, Li Tingting, Zhang Tingting. An Adaptive Tracking Algorithm Based on Mean Shift[C]//2nd International Conference on Advanced Engineering Materials and Technology, 2012: 2607-2613
[17] Peter Harrington. Machine Learning in Action Source Code [EB/OL]. http://www.manning-source.com/books/pharrington/MLiA-SourceCode.zip
[18] Peter Harrington. 机器学习实战[M]. 李锐,译. 北京: 人民邮电出版社,2013: 185-193 Peter Harrington. Machine Learning in Action[M]. Li Rui, Translator. Beijing, Posts & Telecom Press, 2013: 185-193 (in Chinese)
[19] 王伟,马峻,刘伟. 基于OBB包围盒的碰撞检测研究与应用[J]. 计算机仿真,2009,26(9): 180-183 Wang Wei, Ma Jun, Liu Wei. Research and Application of Collision Detection Based on Oriented Bounding Box[J]. Computer Simulation, 2009, 26(9): 180-183 (in Chinese)
[20] 宋城虎,闵林,朱琳,等. 基于包围盒和空间分解的碰撞检测算法[J]. 计算机技术与发展,2014,24(1): 57-60 Song Chenghu, Min Lin, Zhu Lin, et al. A Collision Detection Algorithm Based on Bounding Box and Spatial Subdivision[J]. Computer Technology and Development, 2014, 24(1): 57-60 (in Chinese)