多层智能状态空间建模方法的研究及其应用

计算机科学 ›› 2014, Vol. 41 ›› Issue (3): 253-257.

多层智能状态空间建模方法的研究及其应用

吴爱燕,曾广平,涂序彦

北方工业大学理学院北京100144;北京科技大学计算机与通信工程学院北京100083;北京科技大学计算机与通信工程学院北京100083

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受“十一·五”国家科技支撑计划重点项目(2006BAJ04B07-2),863国家高技术研究发展计划项目基金(2009AA012119)资助

Research of Multi-layer Intelligent Modeling Method

WU Ai-yan,ZENG Guang-ping and TU Xu-yan

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 阐明了“多层智能状态空间”建模方法的研究现状,针对复杂大系统建模中的不确定性与不确知性,尤其是人为主观造成的模糊性与采样数据随机性并存的问题,结合云模型的相关理论和方法设计了“多层智能状态空间”建模方法,给出了模型构建的完整约束及智能信息处理方案。最后将该方法用于我国能源系统分析研究中,构建了多层能源系统分析模型,给出了模型的求解方法,建立仿真实验平台进行实验比对分析,取得了较好的结果,证明了该方法的简单性和有效性。

关键词: 多层状态空间模型,云模型,不确定性,复杂大系统中图法分类号TP391.1文献标识码A

Abstract: The paper studied the research status of multi-layer state-space modeling method,and analysed its advantages and disadvantages．Furtherly,it developed the modeling method with could model and put forward the multi-layer intelligent state-space modeling method,which is able to effectively solve uncertainty of system information,especially coe-xistence of fuzziness and randomness．And it described specification of the model and its intelligent information processing scheme．Finally,it was used to analyse China’s energy system and expound the solution method,and the simulation platform was developed to complete comparison experiment．An active result was got,which shows the method is simple and effective.

Key words: Multi-layer state space model,Cloud model,Uncertainty,Complex large system

吴爱燕,曾广平,涂序彦. 多层智能状态空间建模方法的研究及其应用[J]. 计算机科学, 2014, 41(3): 253-257. https://doi.org/

WU Ai-yan,ZENG Guang-ping and TU Xu-yan. Research of Multi-layer Intelligent Modeling Method[J]. Computer Science, 2014, 41(3): 253-257. https://doi.org/

参考文献

[1] 吴爱燕,曾广平,涂序彦.多层云建模方法的研究及其应用[J].计算机科学,2012,9(1):162-166 (下转第285页)(上接第257页)
[2] 张玉存,邢婷婷．一种复杂系统多源信息分析建模新方法[J].电子学报,2009,37(11):2427-2431
[3] Sen Zen-kai．Rapid visual earthquake hazard evaluation of exis-ting buildings by fuzzy logic modeling [J]．Expert Systems with Applications,2010,37(8):5653-5660
[4] Ajayi A O,Aderounmu G A.An adaptive fuzzy information retrieval model to improve response time perceived by e-commerce clients [J]．Expert Systems with Applications,2010,37(1):82-91
[5] Azimirad E,Pariz N．A novel fuzzy model and control of single intersection at urban traffic network [J]．IEEE Systems Journal,2010,4(1):107-110
[6] Mokeev A V．Description of the digital filter by the state space method[C]∥2009International Siberian Conference on Control and Communications．2009:128-132
[7] 刘政怡,吴建国,李炜．基于整句输入法的状态空间模型[J]．计算机工程与应用,2008,44(30):153-156
[8] 涂序彦,王枞,郭慧．大系统控制论[M]．北京:北京邮电大学出版社,2005:5-6
[9] 李德毅．网络时代人工智能研究与发展[J]．智能系统学报,2009,4(1):1-6
[10] 李德毅,杜鷁．不确定性人工智能[M]．北京:国防工业出版社,2005

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed