内蒙古地区资源型产业优化控制方法研究
|
摘要
资源型产业是以矿产、生物、气候、土地等自然资源的勘探、保护、开发、更新等为基础,依托资源的开采、利用、加工而形成的对自然资源极度依赖的生产、经营、服务体制。如何在“模型—数据—知识”可计算模式下,从控制系统观点,提高资源型产业的知识管理水平,实现管控一体化,是近年来计算机应用技术与自动化领域的一个热点研究方向。由于空间状态参数取值以及计算模式选择不合理,直接影响了资源型产业管理与控制计算结果的可靠性。围绕以上问题,结合若干应用实例,本文对资源型产业运行特征形式化的模型生成算法与信息感知交互方式进行了深入的理论、技术及应用研究,主要包括以下几个方面的内容:
针对资源型产业动态特征信息的随机性、模糊性和不完备性,研究了模糊逻辑在系统信息不完备条件下的诊断应用问题,设计了一种可实现运行过程动态特征模糊推理诊断模型,给出在已知部分特征信息条件下的求解算法,以响应实际运行环境下不可预见的动态扰动事件,从而有效解决运行中的调控问题。该方法成功用于内蒙古地区主要农作物病虫害的远程诊断。
针对资源型产业运行的实时监控,实现资源型产业运行证据的定量描述,研究了利用高密度离散灰色建模方法解决动态参数预测问题,扩展设计了一种基于多变量离散灰色模型的预测控制算法。该算法成功用于内蒙古东部地区田间地表层的菌核量预测。
针对资源型产业综合评判中存在的特征信息多目标、多维、模糊和不完备等特性,利用模糊综合评判方法研究了多目标适应性评判问题,设计了一种多级多因素模糊综合评判决策模型,给出在已知部分信息条件下的求解算法。该算法成功用于内蒙古地区饲用作物种植业生产规划备选方案的综合优选评价决策。
针对“模型—数据—知识”混合可计算条件下,资源型产业系统的信息感知与交互需求,利用硬件在系统可实现技术,研究了系统智能化信息感知与交互方式,设计了一种模糊推理在系统并行可重构实现方案。仿真结果表明了该方法实现模糊感知推理的有效性。
论文的研究工作丰富和拓宽了信息化技术与综合自动化技术的理论及应用领域,提高了智能算法解决实际优化控制问题的能力,为实现内蒙古地区资源型产业管控一体化,提升内蒙古地区资源型产业信息化研究的水平,开发具有地区特色的资源型产业信息化服务产品,满足新型工业化建设要求,提供了科学依据和系统集成方法。
The resource-based industry is based on the exploration, protection, renewal, and utilization of the mineral, biotechnology, climate, land and other natural resources, and it is also a productive, operational and service system relying on the exploitation and processing of resources, especially natural resources. To achieve the integration of management and control, how to improve the level of knowledge management from the systematic control under the“mathematical model-based, data-based, and knowledge-based”computable conditions has become a hot spot in the fields of control science and engineering research in recent years. Since the industrial management and the reliability of the controlling computed results is effected directly by the space state parameters as well as the unreasonable computing mode, this paper has discussed and studied deeply on the generating model algorithm to the operating characteristics and the interactive methods of information-aware based on the above problems with several application examples, including the following aspects:
Firstly, the dynamic applied study on the fuzzy logic is achieved under conditions of the stochastic, fuzzy and incomplete information, and the diagnosis model of fuzzy inference has been designed to realize the dynamic characteristics, then the algorithm is generated in the known characteristics to respond to the dynamic and unforeseen disturbance events in the actual production and take controls effectively and dynamically. This method is used successfully to the remote diagnosis of plant diseases and insect pests in the Inner Mongolia.
Secondly, to monitor the characteristic parameters in real-time and describe quantitatively on the industry, the research is made to predict dynamic characteristics of parameters by the approach of the high-density discrete gray systematic modeling, and a predictive control algorithm has been designed based on the multi-variable and gray-based discrete modeling. The algorithm is applied on predicting the sclerotium number in the eastern part of Inner Mongolia in success.
Next, a multi-level comprehensive fuzzy evaluation in decision-making model is established and the corresponding algorithm to some information given is made to the issue of multi-objective adaptive assessment in the light of the multi objective and dimensional, vague and incomplete properties existing in the comprehensive evaluation on resource-based industries. The algorithm is adopted successfully in the optimal decision-making on the planning and production options used for the animal feed of Inner Mongolia farming.
Finally, the intelligent information-aware and interactive is studied and a reconfigurable parallel program is proposed on the perception and interaction demands under the“mathematical model-based, data-based, and knowledge-based”computable conditions, using the hardware technology being realized in system. The simulation results show that the effective of the method on achieving the fuzzy perception and reasoning.
In general, the studies in the paper enriches and broadens the theory and applications of the information-based technique and the comprehensive automatic technique further, and improves the capability of solving the practical control and decision-making problems by the intelligent algorithm. And then a scientific basis and some systematic integration methods are provided with realizing the integrations of management and control in Inner Mongolia, enhancing the level of industrial info research and developing the local services products characteristically for the resource-based info industry.
针对资源型产业动态特征信息的随机性、模糊性和不完备性,研究了模糊逻辑在系统信息不完备条件下的诊断应用问题,设计了一种可实现运行过程动态特征模糊推理诊断模型,给出在已知部分特征信息条件下的求解算法,以响应实际运行环境下不可预见的动态扰动事件,从而有效解决运行中的调控问题。该方法成功用于内蒙古地区主要农作物病虫害的远程诊断。
针对资源型产业运行的实时监控,实现资源型产业运行证据的定量描述,研究了利用高密度离散灰色建模方法解决动态参数预测问题,扩展设计了一种基于多变量离散灰色模型的预测控制算法。该算法成功用于内蒙古东部地区田间地表层的菌核量预测。
针对资源型产业综合评判中存在的特征信息多目标、多维、模糊和不完备等特性,利用模糊综合评判方法研究了多目标适应性评判问题,设计了一种多级多因素模糊综合评判决策模型,给出在已知部分信息条件下的求解算法。该算法成功用于内蒙古地区饲用作物种植业生产规划备选方案的综合优选评价决策。
针对“模型—数据—知识”混合可计算条件下,资源型产业系统的信息感知与交互需求,利用硬件在系统可实现技术,研究了系统智能化信息感知与交互方式,设计了一种模糊推理在系统并行可重构实现方案。仿真结果表明了该方法实现模糊感知推理的有效性。
论文的研究工作丰富和拓宽了信息化技术与综合自动化技术的理论及应用领域,提高了智能算法解决实际优化控制问题的能力,为实现内蒙古地区资源型产业管控一体化,提升内蒙古地区资源型产业信息化研究的水平,开发具有地区特色的资源型产业信息化服务产品,满足新型工业化建设要求,提供了科学依据和系统集成方法。
The resource-based industry is based on the exploration, protection, renewal, and utilization of the mineral, biotechnology, climate, land and other natural resources, and it is also a productive, operational and service system relying on the exploitation and processing of resources, especially natural resources. To achieve the integration of management and control, how to improve the level of knowledge management from the systematic control under the“mathematical model-based, data-based, and knowledge-based”computable conditions has become a hot spot in the fields of control science and engineering research in recent years. Since the industrial management and the reliability of the controlling computed results is effected directly by the space state parameters as well as the unreasonable computing mode, this paper has discussed and studied deeply on the generating model algorithm to the operating characteristics and the interactive methods of information-aware based on the above problems with several application examples, including the following aspects:
Firstly, the dynamic applied study on the fuzzy logic is achieved under conditions of the stochastic, fuzzy and incomplete information, and the diagnosis model of fuzzy inference has been designed to realize the dynamic characteristics, then the algorithm is generated in the known characteristics to respond to the dynamic and unforeseen disturbance events in the actual production and take controls effectively and dynamically. This method is used successfully to the remote diagnosis of plant diseases and insect pests in the Inner Mongolia.
Secondly, to monitor the characteristic parameters in real-time and describe quantitatively on the industry, the research is made to predict dynamic characteristics of parameters by the approach of the high-density discrete gray systematic modeling, and a predictive control algorithm has been designed based on the multi-variable and gray-based discrete modeling. The algorithm is applied on predicting the sclerotium number in the eastern part of Inner Mongolia in success.
Next, a multi-level comprehensive fuzzy evaluation in decision-making model is established and the corresponding algorithm to some information given is made to the issue of multi-objective adaptive assessment in the light of the multi objective and dimensional, vague and incomplete properties existing in the comprehensive evaluation on resource-based industries. The algorithm is adopted successfully in the optimal decision-making on the planning and production options used for the animal feed of Inner Mongolia farming.
Finally, the intelligent information-aware and interactive is studied and a reconfigurable parallel program is proposed on the perception and interaction demands under the“mathematical model-based, data-based, and knowledge-based”computable conditions, using the hardware technology being realized in system. The simulation results show that the effective of the method on achieving the fuzzy perception and reasoning.
In general, the studies in the paper enriches and broadens the theory and applications of the information-based technique and the comprehensive automatic technique further, and improves the capability of solving the practical control and decision-making problems by the intelligent algorithm. And then a scientific basis and some systematic integration methods are provided with realizing the integrations of management and control in Inner Mongolia, enhancing the level of industrial info research and developing the local services products characteristically for the resource-based info industry.
引文
[1]柴天佑,刘德荣,基于数据的控制、决策、调度与故障诊断[J],自动化学报,2009,35(6):Ⅱ-Ⅲ
[2] Havlena V,Lu J,A distributed automation framework for plant-wide control,optimization,scheduling and planning[J],In:Proceedings of the 16th IFAC World Congress. Prague,Czech:Elsevier,2005:80-94
[3]钱学森,许国志,王寿云,论系统工程[M],长沙:湖南科技出版社,1988
[4]钱学森,于景元,戴汝为,一个科学新领域——开放的复杂巨系统及其方法论[J],自然杂志,1990,13(1):3-10
[5]王耀南,孙炜,智能控制理论及应用[M],北京:机械工业出版社,2008:1-8
[6]柴天佑,生产制造全流程优化控制对控制与优化理论方法的挑战[J],自动化学报,2009,35(6):641-649
[7]杨晓华,沈珍瑶,智能算法及其在资源环境系统建模中的应用[M],北京:北京师范大学出版社,2005:1-28
[8] WANG Hong,CHAI Tian-You,DING Jin-Liang,Data Driven Fault Diagnosis and Fault Tolerant Control:Some Advances and Possible New Directions[J] , Acta Automatica Sinica,2009,35(6):739-747
[9]蔡自兴,智能控制原理及应用[M],北京:清华大学出版社,2007
[10]钱学森,关于思维的科学[M],上海:上海科技出版社,1986
[11]郑彤等,环境系统数学模型[M],化学工业出版社,2003
[12]李德仁等,空间数据挖掘理论与应用[M],科学出版社,2006
[13] Ester M. et al,Spatial data mining:data bases primitives[J],algorithms and efficient DBMS support. Data Mining and Knowledge Discovery,2000,4:193-216
[14] Arthurs A. M. ,Probability Theory[M],Dover Publications,1965
[15] Cressie N. ,Statistics for Spatial Data[M],John Wiley and Sons,1991
[16] Murray A T. ,Estivill-castro V.,Clustering discovery techniques for exploratory spatial data analysis[J],International Journal of Geographical Information Science,1998,12(5):431-443
[17] Pitt L. ,Reinke R. E.,Criteria for polynomial time clustering[J],Machine Learning,1988,2(4):371-396
[18] Kaufman L,Rousseew P. J.,Finding Groups in Data:an Introduction to Cluster Analysis[M],New York,Wiley &. Sons,1990
[19] Tung A. et al,Spatial clustering in the presence of obstacles[J],IEEE Transactions on Knowledge and Data Engineering ,2001:359-369
[20] Zadeh L. A. ,Fuzzy sets[J],Information and Control,1965,8(3):338-353
[21] Pawlak Z. ,Rough sets:theoretical aspects of reasoning about data[M],Kluwer Academic Publishers,1991
[22]李德毅,杜益鸟,不确定性人工智能[M],北京:国防工业出版社,2005:57-105
[23] Miller W. T. et al. ,Neural Network for Control[M],Cambridge (MA)MIT Press,1990
[24] Buckless B. P. ,Petry F. E. ,Genetic Algorithms[M],IEEE Computer Press,1994
[25] Maceachren A. M. et al. , Constructing knowledge from multivariate spatiotemporal data:integrating geographical visualization with knowledge discovery in database methods[J],International Journal of Geographical Information Science,1999,13(4):311-334
[26] Quinlan J. ,Introduction of decision trees[J],Machine Learning,1986,5:239-266
[27] Inmon W. H. ,Building the Data Warehouse[M],John Wiley & Sons,1996
[28] Grabmeier J. ,Rudolph A. ,Techniques of Clustering Algorithms in Data mining[J],Data Mining and Knowledge Discovery,2002,6:303-360
[29] Koperski K. ,Adhikary J. ,Han J. ,Spatial data mining:process and challenges survey paper[J],SIGMOD’96 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'96),1996
[30] Han J. ,Kamber M. ,Data Mining:Concepts and Techniques[J],Academic Press,2001
[31] Eklund P. W. et al. ,Data mining and soil salinity analysis[J],International Journal of Geographical Information Sciences,1998,12(3):247-268
[32]李德仁等,空间数据挖掘和知识发现理论与方法的研究[J],武汉大学学报?信息科学版, 2002,27(3) :221-233
[33]杨晓华,金菊良,魏一鸣,预测低温冷害的门限回归模型[J],灾害学,2002,17(1):1-14
[34] Niska H,Hiltunen T,Karppinen A, Ruuskanen J,Kolehmainen M,Evolving the neural model for forecasting air pollution time series[J],Engineering Applications of Artificial Intelligence, 2004,17(2):159-167
[35] Abdul-Wahab S A,Al-Alawi S M,Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks[J] , Environmental Modeling and Software,2002,17(3):219-228
[36] http://www.lrn.cn/zjtg/academicpaper/200907/t20090701_385228.htm
[37]罗平,尚晓慧,资源型经济与创新型社会的思考[J],生态经济,2008,(2):58-62
[38]何洪鸣,周杰,杨萍,区域资源环境系统物质流动模式[J],数学的实践与认识,2005,35(1):34-42
[39]孙春顺,王耀南,李欣然,风力发电工程对环境的影响[J],电力科学与技术学报,2008,23(2):1-23
[40]向阳,王征于长锐,复杂问题决策支持模式研究[M],北京:科学出版社,2008:1-18
[41] Astrom K J,Where is the Intelligent in Intelligent Control?[J],IEEE Control Systems Magazine,1991,(1):37-39
[42] Coman D,Developing a process model of problem recognition[J],Academy of Management Review,1984,11(4):763-776
[43] Smith G F,Managerial problem identification[J],Omega,1989,17(1):27-36
[44] Liang T P,A logical reasoning and case-bases learning in model management system[J],Decision Support System,1993,(10):137-160
[45]张彩江,决策系统的内在关系分析[J],系统工程,2006,(05):44-49
[46]于长锐,罗艳,面向复杂决策问题的结构计算方法研究[J],系统工程与电子技术,2007,(05):728-731
[47]张彩江,王春生,简单系统决策与复杂系统决策:对决策范式中分化和转换的一种理解[J],系统工程理论方法应用,2005,(05):418-423
[48]向阳,于长锐,复杂决策问题求解的定性与定量综合集成方法[J],管理科学学报,2001,3(2):25-31
[49]李国杰,计算智能:一个重要的研究方向[M],北京:清华大学出版社,2001:5-18
[50]钱敏平,龚光鲁,从数学角度看计算智能[J],科学通报,1998,43(16):1681-1695
[51]武向良,高聚林,赵于东,农业专家系统研究进展及发展方向[J],农机化研究,2008,(1):235-238
[52] Hopfield J J,Artificial Neural Networks[M],IEEE Circuit and Devices Magazine,1988
[53] Buckless B. P. ,Petry F. E. ,Genetic Algorithms,IEEE Computer Press,1994
[54] Rizzoli A.E,Yong W.J,Delivering environment at decision support systems,Software tools and techniques[J],Environment at Modeling&Software,1997,12(23):237-249
[55]李少远,席裕庚,智能控制的新进展[J],控制与决策,2000,15(2):2-4
[56] Maceachren A. M. et al. , Constructing knowledge from multivariatespatiotemporal data:integrating geographical visualization with knowledge discovery in database methods[J],International Journal of Geographical Information Science,1999,13(4):311-334
[57] Quinlan J. ,Introduction of decision trees[J],Machine Learning,1986,(5):239-266
[58] Holland J H. Adaptation in Natural and Artificial Systems[M],Ann Arbor:University of Michigan Press,1975
[59]李士勇,模糊控制、神经控制和智能控制论[M],哈尔滨:哈尔滨工业大学出版社,2002:52-66
[60] Maniezzo V,Genetic evolution of the topology andweight distribution of neural network[J],IEEE Trans onNeural Network,1994,5 (1):39-53
[61] Hatwal H,Mikulcik E C,Some Inverse Solutions to Automobile Path- tracking Problem with Input Control of Steering and Brakes[J],Vehicle System Dynamics,1986,15(2):61-71
[62]刘春平,神经网络的应用与发展[J],电子工艺技术,2005,6(11):360-361
[63]李敏强,寇纪淞,林丹,遗传算法的基本理论与应用[M],北京:科学出版社,2004:27-34
[64]陈明杰,刘胜,改进自适应遗传算法在函数优化中的应用研究[J],哈尔滨工程大学学报,2007,28(8):875-879
[65]彭勇,施宁,林浒,佳点集遗传算法及其在PID控制中的应用[J],计算机应用研究,2009,26(2):524-526
[66] Zhang J,Hsu.W,Lee.M.L,Image mining issues,frameworks,and techniques[J],Proceedings of the Second International Workshop on Multimedia Data Mining (MDM/KDD 2001),2001:13-20
[67]白涛,黄强,蜂群遗传算法及在水库群优化调度中的应用[J],水电自动化与大坝监测,2009,33(1):1-4
[68]常征,黄明,梁旭,基于机器学习的改进遗传算法在车间调度中的应用[J],机械制造,2004,42(483):47-49
[69] Zou Q J,Bai J G,A Intelligent Controllerof Novel Design[J],Proc of Multi-National Instrumentation Conference,Part 1,1983:137-149
[70]黄跃进,反伟胜,朱云龙,空间决策支持系统模型库系统研究[J],信息与控制,2000,29(3):219-225
[71]肖海,武伟,刘洪斌,基于ARCGIS Engine的农业资源信息管理系统的研究[J],计算机与现代化学报,2006,125(1):1-3
[72]李茹,廖志宏,智能化农业信息处理系统中的模糊决策研究[J],计算机应用与软件,2004,21(7):62-64
[73] Gorry,Morton M S S,A framework for management information system [J],Sloan Management Review,1971,3 (1):17-25
[74] Sprague R H,A framework for the development of decision support system [J],MIS Quarterly,1980,(4):113-120
[75]高洪深,决策支持系统(DSS)理论·方法·案例[M],北京:清华大学出版社,1996:13-21
[76] Efrem G. Mallach著,李昭智,李昭勇译,决策支持与数据仓库系统[M],北京:电子工业出版社,2001:499-504
[77] Liang T,A logical reasoning and case-bases learning in model management system[J],Decsion Support System,1993,10:137-160
[78] Krishman R. PDM,A knowledge-based tool for model construction [J],Decision Support Systems,1991,7:301-314
[79] Dos Santos B L,Holsapple C W,A framewok for designing adaptive DSS interfaces [J],Decision Support System,1989,5(l):1-11
[80]贺华中,模糊分析理论与方法在环境规划与管理中的应用研究[D],武汉大学,2002
[81] Wang Q J,Using genetic algoithms to optimise model parameters[J],Environmental Modeling and Sofware with Environment Data News,1997,12(1):27-34
[82] Bobbin,Jason,Recknagel,Inducing explanatory rules for the prediction of algal blooms by genetic algorithms[J],Environment Interational,2001,27(2):237-242
[83] Fang H L,Liang S I,Kuusk and Andres,Retrieving leaf area index using a genetic algoithm with a canopy radiative transfer model[J],Remote Sensing of Environment,2003,85(3):257-270
[84]杨晓华,陆桂华,杨志峰,结构最优设计问题的一种新方法[J],河海大学学报(自然科学版),2003,31(3):351-354
[85]杨晓华,杨志峰,郦建强,大气环境质量综合评价的多目标决策—理想区间法[J],环境工程,2003,21(3):70-72
[86] Cai Zixing,Inteligence Science:disciplinary frame and general features[J],Proceedings of the 2003 IEEE Int,Conf. on Robotics,Inteligent Systems and Signal Prcessing (RISSP),2003:393-398
[87] Hearst M A,Hirsh H,AI’s greatest trends and controversies[J],IEEE Inteligent System and Their Applications,2000(1/2):8-17
[88] Mosleh A, Bier V M,Systems and Humans[J],IEEE Transactions on Systems,Man,and Cybernetics Part A,1996:303-310
[89]李宗耀,张薇,基于知识的人机交互系统[J],决策与决策支持系统,1993,3(4):46-53
[90] Liang T,User interface design for decision support system:a self-adaptiveapproach [J],Information & Management,1987,12:181-193
[91]张朋柱,张梅,韩崇昭,决策支持过程控制:问题—模型—求解递阶分层法[J],控制与决策,1993,8(4):255-260
[92]郦永达,薛华成,智能决策支持系统的人机接口初探[J],系统工程理论与实践,1995,(12):29-33
[93]傅聪,李国杰,费根鲍姆教授谈知识工程及智能机系统[J],模式识别与人工智能,1993,6(2):133-135
[94] Moshe Kam,XiaoXun Zhu,Paul Kalata,Sensor fusion for mobile robot navigation[J],Proceedings of the IEEE,1997,85(1):108-119
[95] Hall D L,Liinas J,An introduction to multisensor data fusion[J],Proceedings of the IEEE,1997,85(1):6-23
[96] Varshney P K , Multisensor data fusion[J] , Journal of Electronics and Communication Engineering,1997,9(6):245-253
[97] Russo F,Ramponi G.,Fuzzy methods for multisensor data fusion[J],IEEE Transactions on Instrumentation and Measurement,1994,43(2):288-294
[98]郗志刚,周宏甫,运动控制器的发展与现状[J],电气传动与自动化,2005,27(3):10-14
[99]王瑶,智能交通自适应控制系统的研究与实现[D],华北电力大学硕士学位论文,2005
[100]董旭,基于FPGA的控制器实现[D],同济大学硕士论文,2005
[101]刘昌华,数字逻辑EDA设计与实践——MAX+plusII与QuartusII双剑合璧[M],北京:国防工业出版社,2006
[102] Taifu Li,Jundi Xiong,Rui Zhang,etc,Hardware implementation of fuzzy PID controllers[J],Fuzzy Optim Decis Making,2006(5):113-122
[103]姚聪,汪敏,潘志浩,张之江,基于FPGA/CPLD和USB技术的无损图像采集卡[J].,电子技术应用,2003,(10):48-51
[104]刘德良,姚春莲,李炜,多分辨率图像实时采集系统的FPGA逻辑设计[J],电子技术应用,2003,(03):69-72
[105]郑亚民,董晓舟,可编程逻辑器件开发软件Quartus II [M],北京:国防工业出版社,2006
[106]刘建辉,冀常鹏,单片机智能控制技术[M],北京:国防工业出版社,2007:199-260
[107]李道亮,傅泽田,田东,智能系统:基础方法及其在农业中的应用[M],北京:清华大学出版社,2004
[108] Li Deyi,Han Jiawei,Knowledge Representation and Discovery Based on Linguistic Atoms[J],Journal of Computer Science and Technology,1997,12(6):431-440
[109] E.-C. Oerke,H.-W. Dehne,Safeguarding production—losses in major crops and the role of crop protection[J],Crop Protection,2004,23(2):275-285
[110] Joyce Fox,Strand Some agrometeorological aspects of pest and disease management for the 21st century[J],Agricultural and Forest Meteorology,2000,103(2):73-82
[111]李鸿吉,模糊数学基础及实用算法[M],北京:科学出版社,2005
[112]谢季坚,刘承平,模糊数学方法及其应用[M],武汉:华中科技大学出版社,2003
[113]潘国荣,刘大杰,顾及邻近点变形因素项的动态模型辨识与预测[J],测绘学报,2001,30(1):32-35
[114]邓聚龙,灰色系统基本方法[M],华中工业学院出版社,1987
[115]刘思峰,郭天榜,灰色系统理论及其应用[M],北京:科学出版社,2000
[116]陈俊珍,关于灰色系统理论中的累加生成[J],系统工程理论与实践,1989,9(9):10-15
[117]汤阳春,申卯兴,张多林著,灰色系统建模中应注意的一个问题[J],系统工程与电子技术,2003,3(25):302-303
[118]张元继,林成森,何旭初等,线性代数计算方法[M],北京:科学出版社,1979:64-104
[119]罗家洪,矩阵分析引论[M],广州:华南理工大学出版社,2000:156-160
[120]陈守煜,模糊模式识别交叉迭代模型与收敛性[J],大连理工大学学报,2001,41(3):264-267
[121]朱祖平,朱彬,基于BP神经网络的企业技术创新效果的模糊综合评价[J],系统工程理论与实践,2003,(09):16-21
[122]马斌,戚蓝,郭磊,基于模糊综合评判及遗传算法的初始地应力场反演[J],中国农村水利水电,2007,(09):73-76
[123]屠龙海,基于空间知识库和模糊综合推理机的地理信息检测评判专家系统设计与应用[J],浙江国土资源,2009,(01):42-45
[124]王迪,闫明亮,赵凤修,模糊综合评判模型在高等院校教学工作评价中的应用[J],科技与教育,2009,(01):25-26
[125]张坤军,席广永,张玲彬,基于变权法的模糊综合评判在地面沉降危害评价中的应用[J],测绘通报,2009,(01):45-47
[126]李希灿,冯绍军,多目标多维模糊决策模型的模糊交叉算法[J],模糊系统与数学,2004,18(3):102-108
[127]陈守煜,工程模糊集理论与应用[M],北京:国防工业出版社,1998
[128]李希灿,耿立新,多目标决策二级模糊优选模型[J],数学的实践与认识,2005,35(4):27-33
[129]陈守煜,刘金禄,多目标优选权重灵敏性分析及应用[J],大连理工大学学报,2002,(4):474-478
[130]李登峰,陈守煜,多目标优化问题的模糊交叉算法与收敛性[J],应用数学,1997,(10):104-109
[131]李磊,评价电炉炼钢总体生产水平的一种方法[J],系统工程理论与实践,1997,(10):39-42
[132]李希灿,王静,具有稳定系数的多目标多维模糊决策算法[J],模糊系统与数学,2007,(06):128-134
[133] CHEN Shouyu,Fuzzy recognition theoretical model[J],Fuzzy Math,1993,1(2):261-269
[134]李道亮,零公里的探索——基层农业信息服务体系建设研究[M],北京:中国农业出版社,2007:125-165
[135]姜艳,裴玉龙,刑恩辉,基于MATLAB的城市停车规划模糊综合评价研究[J],交通运输工程与信息学报,2004,2(3):35-41
[136]楼顺天,基于MATLAB的系统分析与设计——模糊系统[M],西安:西安电子科技大学出版社,1999
[137]李国勇,智能控制及其MATLAB实现[M],西安:西安电子科技大学出版社,2005
[138]冯仲仁,康明,刘沐宇,基于MATLAB的高速公路软基处理模糊决策系统[J],武汉理工大学学报(信息与管理工程版),2002,4(4):17-20
[139] Cui Huafang,Lv Renyi,Application of multi purpose fuzzy optimum technique in the planning andevaluation of urban parking lots [J],Journal of Xi’an University of Architecture and Technology,2000,32(1):65-68
[140] Teng Junnyuan,Tzeng Gwohshing,Transportationinvestment project selection using fuzzymultiobjective programming [J],Fuzzy Sets and Systems,1998,96(3):259-280
[141] Rong-Jong Wai,Hsin-Hai Lin,Faa-Jeng Lin,Hybrid controller using fuzzy neural networks for identification and control of induction servo motor[J] ,Neurocomputing,2000,(35):91-112
[142] Taifu Li,Jundi Xiong,Rui Zhang,etc,Hardware implementation of fuzzy PID controllers[J],Fuzzy Optim Decis Making ,2006,(5):113-122
[143] Minh-Duc Le,Si-Hiep Nguyen,Lan-Anh Nguyen,Study on a new and effective fuzzy PID ship autopilot[J],Artif Life Robotics ,2004 (8):197–201
[144] Tahani V,A conceptual framework for fuzzy query processing—A step toward very intelligent database systems[J],Information Processing & Management,1977,13:289-303
[145] CHEN S M,JONG W T,Fuzzy query translationfor relational data-base[J],IEEE Transactions on Systems,Man and Cybernetics,1997,27(4):714-721
[146]杨罗辉,一类基于模糊图论的费用与时间最优化问题的模型[J],长春大学学报,2007,17(6):18-20
[147] Kruegel C,Vigna G,Anomaly Detection of Web-based Attacks[J],Proceedings of the 10th ACM Conference on Computer and Communication Security (CCS’03). Washington,DC,ACM Press,2003:251-261
[148]郗志刚,周宏甫.运动控制器的发展与现状[J],电气传动与自动化,2005,27(3):10-14
[149]焦素敏,阎有运,基于FPGA的模糊控制器的设计[J],华北水利水电学院学报,2006,27(2):69-72
[150]房建东,郭振兴,并行可重构模糊控制器的在系统设计[J],微电子学与计算机,2008,25()9:124-127
[151]周浩敏,钱政,智能传感技术与系统[M],北京:北京航空航天大学出版社,2008:50-66
[152]王耀南,智能信息处理技术[M],北京:高等教育出版社,2003:66-87
[153] K.M.DELIPARASCHOS,F.I.NENEDAKIS,S.G.TZAFESTAS,Design and Implementation of a Fast Digital Fuzzy Logic Controller Using FPGA[J],Technology Journal of Intelligent and Robotic Systems,2006,(45):77-96
[154]万希耀,朱伟兴,自适应阶梯模糊控制器的FPGA实现[J],电子技术应用,2007,(1):71-74
[155] Ajit P Khatra , Implementation of a multi-layered fuzzy controller on anFPGA[D],Wright State University master thesis,2006
[156] F.-J. Lin,D.-H. Wang,P.-K. Huang,FPGA-based fuzzy sliding-mode control for a linear induction motor drive[J],IEEE Proc.-Electr. Power Appl. 2005,152( 5):1137-1148
[157]黄智伟,FPGA系统设计与实践[M],北京:电子工业出版社,2005
[158]褚振勇,翁木云,FPGA设计与应用[M],西安:西安电子科技大学出版社,2003
[2] Havlena V,Lu J,A distributed automation framework for plant-wide control,optimization,scheduling and planning[J],In:Proceedings of the 16th IFAC World Congress. Prague,Czech:Elsevier,2005:80-94
[3]钱学森,许国志,王寿云,论系统工程[M],长沙:湖南科技出版社,1988
[4]钱学森,于景元,戴汝为,一个科学新领域——开放的复杂巨系统及其方法论[J],自然杂志,1990,13(1):3-10
[5]王耀南,孙炜,智能控制理论及应用[M],北京:机械工业出版社,2008:1-8
[6]柴天佑,生产制造全流程优化控制对控制与优化理论方法的挑战[J],自动化学报,2009,35(6):641-649
[7]杨晓华,沈珍瑶,智能算法及其在资源环境系统建模中的应用[M],北京:北京师范大学出版社,2005:1-28
[8] WANG Hong,CHAI Tian-You,DING Jin-Liang,Data Driven Fault Diagnosis and Fault Tolerant Control:Some Advances and Possible New Directions[J] , Acta Automatica Sinica,2009,35(6):739-747
[9]蔡自兴,智能控制原理及应用[M],北京:清华大学出版社,2007
[10]钱学森,关于思维的科学[M],上海:上海科技出版社,1986
[11]郑彤等,环境系统数学模型[M],化学工业出版社,2003
[12]李德仁等,空间数据挖掘理论与应用[M],科学出版社,2006
[13] Ester M. et al,Spatial data mining:data bases primitives[J],algorithms and efficient DBMS support. Data Mining and Knowledge Discovery,2000,4:193-216
[14] Arthurs A. M. ,Probability Theory[M],Dover Publications,1965
[15] Cressie N. ,Statistics for Spatial Data[M],John Wiley and Sons,1991
[16] Murray A T. ,Estivill-castro V.,Clustering discovery techniques for exploratory spatial data analysis[J],International Journal of Geographical Information Science,1998,12(5):431-443
[17] Pitt L. ,Reinke R. E.,Criteria for polynomial time clustering[J],Machine Learning,1988,2(4):371-396
[18] Kaufman L,Rousseew P. J.,Finding Groups in Data:an Introduction to Cluster Analysis[M],New York,Wiley &. Sons,1990
[19] Tung A. et al,Spatial clustering in the presence of obstacles[J],IEEE Transactions on Knowledge and Data Engineering ,2001:359-369
[20] Zadeh L. A. ,Fuzzy sets[J],Information and Control,1965,8(3):338-353
[21] Pawlak Z. ,Rough sets:theoretical aspects of reasoning about data[M],Kluwer Academic Publishers,1991
[22]李德毅,杜益鸟,不确定性人工智能[M],北京:国防工业出版社,2005:57-105
[23] Miller W. T. et al. ,Neural Network for Control[M],Cambridge (MA)MIT Press,1990
[24] Buckless B. P. ,Petry F. E. ,Genetic Algorithms[M],IEEE Computer Press,1994
[25] Maceachren A. M. et al. , Constructing knowledge from multivariate spatiotemporal data:integrating geographical visualization with knowledge discovery in database methods[J],International Journal of Geographical Information Science,1999,13(4):311-334
[26] Quinlan J. ,Introduction of decision trees[J],Machine Learning,1986,5:239-266
[27] Inmon W. H. ,Building the Data Warehouse[M],John Wiley & Sons,1996
[28] Grabmeier J. ,Rudolph A. ,Techniques of Clustering Algorithms in Data mining[J],Data Mining and Knowledge Discovery,2002,6:303-360
[29] Koperski K. ,Adhikary J. ,Han J. ,Spatial data mining:process and challenges survey paper[J],SIGMOD’96 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'96),1996
[30] Han J. ,Kamber M. ,Data Mining:Concepts and Techniques[J],Academic Press,2001
[31] Eklund P. W. et al. ,Data mining and soil salinity analysis[J],International Journal of Geographical Information Sciences,1998,12(3):247-268
[32]李德仁等,空间数据挖掘和知识发现理论与方法的研究[J],武汉大学学报?信息科学版, 2002,27(3) :221-233
[33]杨晓华,金菊良,魏一鸣,预测低温冷害的门限回归模型[J],灾害学,2002,17(1):1-14
[34] Niska H,Hiltunen T,Karppinen A, Ruuskanen J,Kolehmainen M,Evolving the neural model for forecasting air pollution time series[J],Engineering Applications of Artificial Intelligence, 2004,17(2):159-167
[35] Abdul-Wahab S A,Al-Alawi S M,Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks[J] , Environmental Modeling and Software,2002,17(3):219-228
[36] http://www.lrn.cn/zjtg/academicpaper/200907/t20090701_385228.htm
[37]罗平,尚晓慧,资源型经济与创新型社会的思考[J],生态经济,2008,(2):58-62
[38]何洪鸣,周杰,杨萍,区域资源环境系统物质流动模式[J],数学的实践与认识,2005,35(1):34-42
[39]孙春顺,王耀南,李欣然,风力发电工程对环境的影响[J],电力科学与技术学报,2008,23(2):1-23
[40]向阳,王征于长锐,复杂问题决策支持模式研究[M],北京:科学出版社,2008:1-18
[41] Astrom K J,Where is the Intelligent in Intelligent Control?[J],IEEE Control Systems Magazine,1991,(1):37-39
[42] Coman D,Developing a process model of problem recognition[J],Academy of Management Review,1984,11(4):763-776
[43] Smith G F,Managerial problem identification[J],Omega,1989,17(1):27-36
[44] Liang T P,A logical reasoning and case-bases learning in model management system[J],Decision Support System,1993,(10):137-160
[45]张彩江,决策系统的内在关系分析[J],系统工程,2006,(05):44-49
[46]于长锐,罗艳,面向复杂决策问题的结构计算方法研究[J],系统工程与电子技术,2007,(05):728-731
[47]张彩江,王春生,简单系统决策与复杂系统决策:对决策范式中分化和转换的一种理解[J],系统工程理论方法应用,2005,(05):418-423
[48]向阳,于长锐,复杂决策问题求解的定性与定量综合集成方法[J],管理科学学报,2001,3(2):25-31
[49]李国杰,计算智能:一个重要的研究方向[M],北京:清华大学出版社,2001:5-18
[50]钱敏平,龚光鲁,从数学角度看计算智能[J],科学通报,1998,43(16):1681-1695
[51]武向良,高聚林,赵于东,农业专家系统研究进展及发展方向[J],农机化研究,2008,(1):235-238
[52] Hopfield J J,Artificial Neural Networks[M],IEEE Circuit and Devices Magazine,1988
[53] Buckless B. P. ,Petry F. E. ,Genetic Algorithms,IEEE Computer Press,1994
[54] Rizzoli A.E,Yong W.J,Delivering environment at decision support systems,Software tools and techniques[J],Environment at Modeling&Software,1997,12(23):237-249
[55]李少远,席裕庚,智能控制的新进展[J],控制与决策,2000,15(2):2-4
[56] Maceachren A. M. et al. , Constructing knowledge from multivariatespatiotemporal data:integrating geographical visualization with knowledge discovery in database methods[J],International Journal of Geographical Information Science,1999,13(4):311-334
[57] Quinlan J. ,Introduction of decision trees[J],Machine Learning,1986,(5):239-266
[58] Holland J H. Adaptation in Natural and Artificial Systems[M],Ann Arbor:University of Michigan Press,1975
[59]李士勇,模糊控制、神经控制和智能控制论[M],哈尔滨:哈尔滨工业大学出版社,2002:52-66
[60] Maniezzo V,Genetic evolution of the topology andweight distribution of neural network[J],IEEE Trans onNeural Network,1994,5 (1):39-53
[61] Hatwal H,Mikulcik E C,Some Inverse Solutions to Automobile Path- tracking Problem with Input Control of Steering and Brakes[J],Vehicle System Dynamics,1986,15(2):61-71
[62]刘春平,神经网络的应用与发展[J],电子工艺技术,2005,6(11):360-361
[63]李敏强,寇纪淞,林丹,遗传算法的基本理论与应用[M],北京:科学出版社,2004:27-34
[64]陈明杰,刘胜,改进自适应遗传算法在函数优化中的应用研究[J],哈尔滨工程大学学报,2007,28(8):875-879
[65]彭勇,施宁,林浒,佳点集遗传算法及其在PID控制中的应用[J],计算机应用研究,2009,26(2):524-526
[66] Zhang J,Hsu.W,Lee.M.L,Image mining issues,frameworks,and techniques[J],Proceedings of the Second International Workshop on Multimedia Data Mining (MDM/KDD 2001),2001:13-20
[67]白涛,黄强,蜂群遗传算法及在水库群优化调度中的应用[J],水电自动化与大坝监测,2009,33(1):1-4
[68]常征,黄明,梁旭,基于机器学习的改进遗传算法在车间调度中的应用[J],机械制造,2004,42(483):47-49
[69] Zou Q J,Bai J G,A Intelligent Controllerof Novel Design[J],Proc of Multi-National Instrumentation Conference,Part 1,1983:137-149
[70]黄跃进,反伟胜,朱云龙,空间决策支持系统模型库系统研究[J],信息与控制,2000,29(3):219-225
[71]肖海,武伟,刘洪斌,基于ARCGIS Engine的农业资源信息管理系统的研究[J],计算机与现代化学报,2006,125(1):1-3
[72]李茹,廖志宏,智能化农业信息处理系统中的模糊决策研究[J],计算机应用与软件,2004,21(7):62-64
[73] Gorry,Morton M S S,A framework for management information system [J],Sloan Management Review,1971,3 (1):17-25
[74] Sprague R H,A framework for the development of decision support system [J],MIS Quarterly,1980,(4):113-120
[75]高洪深,决策支持系统(DSS)理论·方法·案例[M],北京:清华大学出版社,1996:13-21
[76] Efrem G. Mallach著,李昭智,李昭勇译,决策支持与数据仓库系统[M],北京:电子工业出版社,2001:499-504
[77] Liang T,A logical reasoning and case-bases learning in model management system[J],Decsion Support System,1993,10:137-160
[78] Krishman R. PDM,A knowledge-based tool for model construction [J],Decision Support Systems,1991,7:301-314
[79] Dos Santos B L,Holsapple C W,A framewok for designing adaptive DSS interfaces [J],Decision Support System,1989,5(l):1-11
[80]贺华中,模糊分析理论与方法在环境规划与管理中的应用研究[D],武汉大学,2002
[81] Wang Q J,Using genetic algoithms to optimise model parameters[J],Environmental Modeling and Sofware with Environment Data News,1997,12(1):27-34
[82] Bobbin,Jason,Recknagel,Inducing explanatory rules for the prediction of algal blooms by genetic algorithms[J],Environment Interational,2001,27(2):237-242
[83] Fang H L,Liang S I,Kuusk and Andres,Retrieving leaf area index using a genetic algoithm with a canopy radiative transfer model[J],Remote Sensing of Environment,2003,85(3):257-270
[84]杨晓华,陆桂华,杨志峰,结构最优设计问题的一种新方法[J],河海大学学报(自然科学版),2003,31(3):351-354
[85]杨晓华,杨志峰,郦建强,大气环境质量综合评价的多目标决策—理想区间法[J],环境工程,2003,21(3):70-72
[86] Cai Zixing,Inteligence Science:disciplinary frame and general features[J],Proceedings of the 2003 IEEE Int,Conf. on Robotics,Inteligent Systems and Signal Prcessing (RISSP),2003:393-398
[87] Hearst M A,Hirsh H,AI’s greatest trends and controversies[J],IEEE Inteligent System and Their Applications,2000(1/2):8-17
[88] Mosleh A, Bier V M,Systems and Humans[J],IEEE Transactions on Systems,Man,and Cybernetics Part A,1996:303-310
[89]李宗耀,张薇,基于知识的人机交互系统[J],决策与决策支持系统,1993,3(4):46-53
[90] Liang T,User interface design for decision support system:a self-adaptiveapproach [J],Information & Management,1987,12:181-193
[91]张朋柱,张梅,韩崇昭,决策支持过程控制:问题—模型—求解递阶分层法[J],控制与决策,1993,8(4):255-260
[92]郦永达,薛华成,智能决策支持系统的人机接口初探[J],系统工程理论与实践,1995,(12):29-33
[93]傅聪,李国杰,费根鲍姆教授谈知识工程及智能机系统[J],模式识别与人工智能,1993,6(2):133-135
[94] Moshe Kam,XiaoXun Zhu,Paul Kalata,Sensor fusion for mobile robot navigation[J],Proceedings of the IEEE,1997,85(1):108-119
[95] Hall D L,Liinas J,An introduction to multisensor data fusion[J],Proceedings of the IEEE,1997,85(1):6-23
[96] Varshney P K , Multisensor data fusion[J] , Journal of Electronics and Communication Engineering,1997,9(6):245-253
[97] Russo F,Ramponi G.,Fuzzy methods for multisensor data fusion[J],IEEE Transactions on Instrumentation and Measurement,1994,43(2):288-294
[98]郗志刚,周宏甫,运动控制器的发展与现状[J],电气传动与自动化,2005,27(3):10-14
[99]王瑶,智能交通自适应控制系统的研究与实现[D],华北电力大学硕士学位论文,2005
[100]董旭,基于FPGA的控制器实现[D],同济大学硕士论文,2005
[101]刘昌华,数字逻辑EDA设计与实践——MAX+plusII与QuartusII双剑合璧[M],北京:国防工业出版社,2006
[102] Taifu Li,Jundi Xiong,Rui Zhang,etc,Hardware implementation of fuzzy PID controllers[J],Fuzzy Optim Decis Making,2006(5):113-122
[103]姚聪,汪敏,潘志浩,张之江,基于FPGA/CPLD和USB技术的无损图像采集卡[J].,电子技术应用,2003,(10):48-51
[104]刘德良,姚春莲,李炜,多分辨率图像实时采集系统的FPGA逻辑设计[J],电子技术应用,2003,(03):69-72
[105]郑亚民,董晓舟,可编程逻辑器件开发软件Quartus II [M],北京:国防工业出版社,2006
[106]刘建辉,冀常鹏,单片机智能控制技术[M],北京:国防工业出版社,2007:199-260
[107]李道亮,傅泽田,田东,智能系统:基础方法及其在农业中的应用[M],北京:清华大学出版社,2004
[108] Li Deyi,Han Jiawei,Knowledge Representation and Discovery Based on Linguistic Atoms[J],Journal of Computer Science and Technology,1997,12(6):431-440
[109] E.-C. Oerke,H.-W. Dehne,Safeguarding production—losses in major crops and the role of crop protection[J],Crop Protection,2004,23(2):275-285
[110] Joyce Fox,Strand Some agrometeorological aspects of pest and disease management for the 21st century[J],Agricultural and Forest Meteorology,2000,103(2):73-82
[111]李鸿吉,模糊数学基础及实用算法[M],北京:科学出版社,2005
[112]谢季坚,刘承平,模糊数学方法及其应用[M],武汉:华中科技大学出版社,2003
[113]潘国荣,刘大杰,顾及邻近点变形因素项的动态模型辨识与预测[J],测绘学报,2001,30(1):32-35
[114]邓聚龙,灰色系统基本方法[M],华中工业学院出版社,1987
[115]刘思峰,郭天榜,灰色系统理论及其应用[M],北京:科学出版社,2000
[116]陈俊珍,关于灰色系统理论中的累加生成[J],系统工程理论与实践,1989,9(9):10-15
[117]汤阳春,申卯兴,张多林著,灰色系统建模中应注意的一个问题[J],系统工程与电子技术,2003,3(25):302-303
[118]张元继,林成森,何旭初等,线性代数计算方法[M],北京:科学出版社,1979:64-104
[119]罗家洪,矩阵分析引论[M],广州:华南理工大学出版社,2000:156-160
[120]陈守煜,模糊模式识别交叉迭代模型与收敛性[J],大连理工大学学报,2001,41(3):264-267
[121]朱祖平,朱彬,基于BP神经网络的企业技术创新效果的模糊综合评价[J],系统工程理论与实践,2003,(09):16-21
[122]马斌,戚蓝,郭磊,基于模糊综合评判及遗传算法的初始地应力场反演[J],中国农村水利水电,2007,(09):73-76
[123]屠龙海,基于空间知识库和模糊综合推理机的地理信息检测评判专家系统设计与应用[J],浙江国土资源,2009,(01):42-45
[124]王迪,闫明亮,赵凤修,模糊综合评判模型在高等院校教学工作评价中的应用[J],科技与教育,2009,(01):25-26
[125]张坤军,席广永,张玲彬,基于变权法的模糊综合评判在地面沉降危害评价中的应用[J],测绘通报,2009,(01):45-47
[126]李希灿,冯绍军,多目标多维模糊决策模型的模糊交叉算法[J],模糊系统与数学,2004,18(3):102-108
[127]陈守煜,工程模糊集理论与应用[M],北京:国防工业出版社,1998
[128]李希灿,耿立新,多目标决策二级模糊优选模型[J],数学的实践与认识,2005,35(4):27-33
[129]陈守煜,刘金禄,多目标优选权重灵敏性分析及应用[J],大连理工大学学报,2002,(4):474-478
[130]李登峰,陈守煜,多目标优化问题的模糊交叉算法与收敛性[J],应用数学,1997,(10):104-109
[131]李磊,评价电炉炼钢总体生产水平的一种方法[J],系统工程理论与实践,1997,(10):39-42
[132]李希灿,王静,具有稳定系数的多目标多维模糊决策算法[J],模糊系统与数学,2007,(06):128-134
[133] CHEN Shouyu,Fuzzy recognition theoretical model[J],Fuzzy Math,1993,1(2):261-269
[134]李道亮,零公里的探索——基层农业信息服务体系建设研究[M],北京:中国农业出版社,2007:125-165
[135]姜艳,裴玉龙,刑恩辉,基于MATLAB的城市停车规划模糊综合评价研究[J],交通运输工程与信息学报,2004,2(3):35-41
[136]楼顺天,基于MATLAB的系统分析与设计——模糊系统[M],西安:西安电子科技大学出版社,1999
[137]李国勇,智能控制及其MATLAB实现[M],西安:西安电子科技大学出版社,2005
[138]冯仲仁,康明,刘沐宇,基于MATLAB的高速公路软基处理模糊决策系统[J],武汉理工大学学报(信息与管理工程版),2002,4(4):17-20
[139] Cui Huafang,Lv Renyi,Application of multi purpose fuzzy optimum technique in the planning andevaluation of urban parking lots [J],Journal of Xi’an University of Architecture and Technology,2000,32(1):65-68
[140] Teng Junnyuan,Tzeng Gwohshing,Transportationinvestment project selection using fuzzymultiobjective programming [J],Fuzzy Sets and Systems,1998,96(3):259-280
[141] Rong-Jong Wai,Hsin-Hai Lin,Faa-Jeng Lin,Hybrid controller using fuzzy neural networks for identification and control of induction servo motor[J] ,Neurocomputing,2000,(35):91-112
[142] Taifu Li,Jundi Xiong,Rui Zhang,etc,Hardware implementation of fuzzy PID controllers[J],Fuzzy Optim Decis Making ,2006,(5):113-122
[143] Minh-Duc Le,Si-Hiep Nguyen,Lan-Anh Nguyen,Study on a new and effective fuzzy PID ship autopilot[J],Artif Life Robotics ,2004 (8):197–201
[144] Tahani V,A conceptual framework for fuzzy query processing—A step toward very intelligent database systems[J],Information Processing & Management,1977,13:289-303
[145] CHEN S M,JONG W T,Fuzzy query translationfor relational data-base[J],IEEE Transactions on Systems,Man and Cybernetics,1997,27(4):714-721
[146]杨罗辉,一类基于模糊图论的费用与时间最优化问题的模型[J],长春大学学报,2007,17(6):18-20
[147] Kruegel C,Vigna G,Anomaly Detection of Web-based Attacks[J],Proceedings of the 10th ACM Conference on Computer and Communication Security (CCS’03). Washington,DC,ACM Press,2003:251-261
[148]郗志刚,周宏甫.运动控制器的发展与现状[J],电气传动与自动化,2005,27(3):10-14
[149]焦素敏,阎有运,基于FPGA的模糊控制器的设计[J],华北水利水电学院学报,2006,27(2):69-72
[150]房建东,郭振兴,并行可重构模糊控制器的在系统设计[J],微电子学与计算机,2008,25()9:124-127
[151]周浩敏,钱政,智能传感技术与系统[M],北京:北京航空航天大学出版社,2008:50-66
[152]王耀南,智能信息处理技术[M],北京:高等教育出版社,2003:66-87
[153] K.M.DELIPARASCHOS,F.I.NENEDAKIS,S.G.TZAFESTAS,Design and Implementation of a Fast Digital Fuzzy Logic Controller Using FPGA[J],Technology Journal of Intelligent and Robotic Systems,2006,(45):77-96
[154]万希耀,朱伟兴,自适应阶梯模糊控制器的FPGA实现[J],电子技术应用,2007,(1):71-74
[155] Ajit P Khatra , Implementation of a multi-layered fuzzy controller on anFPGA[D],Wright State University master thesis,2006
[156] F.-J. Lin,D.-H. Wang,P.-K. Huang,FPGA-based fuzzy sliding-mode control for a linear induction motor drive[J],IEEE Proc.-Electr. Power Appl. 2005,152( 5):1137-1148
[157]黄智伟,FPGA系统设计与实践[M],北京:电子工业出版社,2005
[158]褚振勇,翁木云,FPGA设计与应用[M],西安:西安电子科技大学出版社,2003