模糊离散事件自动机组合的控制与切换
|
摘要
本文研究的模糊离散系统(FDES)是针对一些对象与环境的特点,考虑系统不确定性因素的一类离散事件系统。可研究一类现实世界中具有确定感觉下的不确定性、也适合于研究与人主观判断相关的复杂非线性系统,它为解决这类系统中的一些问题提供了科学的理论与方法。在传统的确定性DES(Crisp DES)理论中,有限自动机常用来对离散事件系统进行建模。为了建立FDES的模型,可将传统有限状态机模型扩展到模糊有限状态机模型,将传统的状态向量和状态转移矩阵扩展为模糊状态向量和模糊状态转移矩阵。本文先对系统各部分建立模糊有限状态机模型,然后经过组合获得整个系统的模型。
针对FDES自动机组合,提出了一个基于最大乘积的自动机组合模型,证明了基于最大乘积算法的状态转移定理;提出了基于平均张量算法的FDES自动机组合简化方法,证明了基于最大平均算法的状态转移定理;并进行了验证,说明了它们在降低组合复杂度及节省运算时间方面有很好的作用。对FDES自动机组合的各种方法进行了比较。
研究了基于FDES自动机的系统建模方法,给出了FDES控制与决策模型,对该模型进行了在线优化。结合一个实际系统提出了模糊离散事件自动机建模方法,给出了基于前向树的优化控制策略,提出了两种优先级调整的优化控制策略,即根据成本进行事件优化和基于时序逻辑的事件优化,简化了基于FDES的前向树模型。
提出了异构网络FDES自动机的扩展组合方法,给出了异构网络的效能函数。将FDES自动机应用到异构网络的垂直切换中,构建了垂直切换系统结构,并对切换系统建立了FDES自动机模型。根据垂直切换的效率函数,计算出异构网络中某一时刻的服务质量(QoS),同时根据个人选择度和终端移动速度形成了切换规则。
研究了FDES自动机组合在空调系统节能中的应用。对空调系统的冷负荷进行预测,建立了空调系统中制冷机、冷冻和冷却水泵及风机的能耗模型。通过实际负荷与预测负荷的比较,制定了空调系统控制策略。为了达到空调系统进一步节能目的,通过空调系统FDES自动机组合,建立了空调系统控制环节的优先级模型。最后通过负荷调整的FDES模型,指出基于FDES自动机的空调节能控制优于传统控制。
建立了车域网FDES自动机模型,并通过效能函数建立了车域网切换的优先级,分别制定与描述了车域网切换规则与实施规则。最后通过NS2网络软件对车域网垂直切换过程、TCP延迟、吞吐率等网络指标进行了仿真分析,表明该FDES自动机能达到优化网络切换的目的。
This paper deals with the fuzzy discrete event system(FDES) which is a class of discrete event systems aiming at some characteristics of the object and the environment, considering the uncertainity of the system.This article provides a scientific theory and method which can be used to determine the uncertainty of certainty looking natured real world objects and also suitable to research the complexity of nonlinear systems related to human subjective judgments.In the traditional DES(Crisp DES) theory,the finite automata model is often used for discrete event systems.In order to establish the FDES model,the traditional finite automata model is expanded to the fuzzy finite automata model state,where the traditional state vector and the state transition matrix are expanded for the fuzzy state vector and the fuzzy state transition matrix.Therefore the fuzzy finite state machine model can be established for each part then system model can be obtained through composition model.
Aiming at FDES automata composition the automaton composition model based on max-product is proposed,and the state transfer theorem with max-product algorithm is proved.On foundation of average tensor algorithm,the FDES automata composed method is put forward,and the state transfer theorem with average tensor algorithm is also proved. These two theorems are proved by illustrated examples showing they have a very good effect in reducing complexicity and time saving,then comparision between the various FDES automata composition methods is made.
Modeling of system with FDES automaton is researched,decision making model is put forward and then it is online optimized.Aiming at a practical system a fuzzy discrete automaton modeling method is proposed with look-forward tree optimization control strategy.Control aspects of the system is set on priority level,and two types of optimization control strategy is presented:event optimization based on cost and event optimization based on the sequential logic,then FDES look-forward tree model is simplified.
This paper also proposes a expansion composition of heterogenous networks FDES automata,the performance function of the network is given.FDES automaton is used in vertical handoff in heterogenous network,the vertical handoff is constructed,and FDES automaton model is established.According to the effectiveness function of vertical handoff,the quality of service(QoS) in heterogenous network in certain moment of time can be calculated,simultaneously handoff rules in according to individual choice and terminal speed can be formed.
This paper studies about the application of FDES automaton in air-conditioning(AC) system for energy saving.The cooling load of air-conditioning system is predicted,energy consumption model of chilled,cooling water pump and fan of AC system is established. Through the comparison of actual load and predicted load,air-conditioning system control strategy is developed.In order to achieve further energy-saving of AC system,through the composition of FDES automata,the priority model of AC control system is established. Finally,through the load adjustment FDES model,it is proved that energy control of AC system based on FDES automata is better than that of the conventional variable frequency control.
A Vehicle area network(VAN) FDES automata model is established in this paper, and by means of performance function,vehicle area network handoff priority is observed, and the handoff rules and the implementation rules is formulated and described respectively.Finally through NS2 network software simulation analysis is done such as vertical handoff process of vehicle area network,TCP delay,throughput,the result shows that FDES automata methods can achieve the purpose of optimizing the network handoff.
针对FDES自动机组合,提出了一个基于最大乘积的自动机组合模型,证明了基于最大乘积算法的状态转移定理;提出了基于平均张量算法的FDES自动机组合简化方法,证明了基于最大平均算法的状态转移定理;并进行了验证,说明了它们在降低组合复杂度及节省运算时间方面有很好的作用。对FDES自动机组合的各种方法进行了比较。
研究了基于FDES自动机的系统建模方法,给出了FDES控制与决策模型,对该模型进行了在线优化。结合一个实际系统提出了模糊离散事件自动机建模方法,给出了基于前向树的优化控制策略,提出了两种优先级调整的优化控制策略,即根据成本进行事件优化和基于时序逻辑的事件优化,简化了基于FDES的前向树模型。
提出了异构网络FDES自动机的扩展组合方法,给出了异构网络的效能函数。将FDES自动机应用到异构网络的垂直切换中,构建了垂直切换系统结构,并对切换系统建立了FDES自动机模型。根据垂直切换的效率函数,计算出异构网络中某一时刻的服务质量(QoS),同时根据个人选择度和终端移动速度形成了切换规则。
研究了FDES自动机组合在空调系统节能中的应用。对空调系统的冷负荷进行预测,建立了空调系统中制冷机、冷冻和冷却水泵及风机的能耗模型。通过实际负荷与预测负荷的比较,制定了空调系统控制策略。为了达到空调系统进一步节能目的,通过空调系统FDES自动机组合,建立了空调系统控制环节的优先级模型。最后通过负荷调整的FDES模型,指出基于FDES自动机的空调节能控制优于传统控制。
建立了车域网FDES自动机模型,并通过效能函数建立了车域网切换的优先级,分别制定与描述了车域网切换规则与实施规则。最后通过NS2网络软件对车域网垂直切换过程、TCP延迟、吞吐率等网络指标进行了仿真分析,表明该FDES自动机能达到优化网络切换的目的。
This paper deals with the fuzzy discrete event system(FDES) which is a class of discrete event systems aiming at some characteristics of the object and the environment, considering the uncertainity of the system.This article provides a scientific theory and method which can be used to determine the uncertainty of certainty looking natured real world objects and also suitable to research the complexity of nonlinear systems related to human subjective judgments.In the traditional DES(Crisp DES) theory,the finite automata model is often used for discrete event systems.In order to establish the FDES model,the traditional finite automata model is expanded to the fuzzy finite automata model state,where the traditional state vector and the state transition matrix are expanded for the fuzzy state vector and the fuzzy state transition matrix.Therefore the fuzzy finite state machine model can be established for each part then system model can be obtained through composition model.
Aiming at FDES automata composition the automaton composition model based on max-product is proposed,and the state transfer theorem with max-product algorithm is proved.On foundation of average tensor algorithm,the FDES automata composed method is put forward,and the state transfer theorem with average tensor algorithm is also proved. These two theorems are proved by illustrated examples showing they have a very good effect in reducing complexicity and time saving,then comparision between the various FDES automata composition methods is made.
Modeling of system with FDES automaton is researched,decision making model is put forward and then it is online optimized.Aiming at a practical system a fuzzy discrete automaton modeling method is proposed with look-forward tree optimization control strategy.Control aspects of the system is set on priority level,and two types of optimization control strategy is presented:event optimization based on cost and event optimization based on the sequential logic,then FDES look-forward tree model is simplified.
This paper also proposes a expansion composition of heterogenous networks FDES automata,the performance function of the network is given.FDES automaton is used in vertical handoff in heterogenous network,the vertical handoff is constructed,and FDES automaton model is established.According to the effectiveness function of vertical handoff,the quality of service(QoS) in heterogenous network in certain moment of time can be calculated,simultaneously handoff rules in according to individual choice and terminal speed can be formed.
This paper studies about the application of FDES automaton in air-conditioning(AC) system for energy saving.The cooling load of air-conditioning system is predicted,energy consumption model of chilled,cooling water pump and fan of AC system is established. Through the comparison of actual load and predicted load,air-conditioning system control strategy is developed.In order to achieve further energy-saving of AC system,through the composition of FDES automata,the priority model of AC control system is established. Finally,through the load adjustment FDES model,it is proved that energy control of AC system based on FDES automata is better than that of the conventional variable frequency control.
A Vehicle area network(VAN) FDES automata model is established in this paper, and by means of performance function,vehicle area network handoff priority is observed, and the handoff rules and the implementation rules is formulated and described respectively.Finally through NS2 network software simulation analysis is done such as vertical handoff process of vehicle area network,TCP delay,throughput,the result shows that FDES automata methods can achieve the purpose of optimizing the network handoff.
引文
[1]郊大钟,赵千川著,离散事件动态系统,北京:清华大学出版社,2000
[2]F.Lin and H.Ying,Fuzzy discrete event systems and their observability[C],in Proceeding Joint International Conference 9th International Fuzzy Systems Association and World Congregation 20th North American Fuzzy Information Processing Society,Vancouver,BC,Canada,July 2001,pp.1271-1276
[3]Feng Lin and Hao Ying.Modeling and control of fuzzy discrete event systems.IEEE TRANSACTIONS ON SYSTEMS,MAN,AND CYBERNETICS—PARTB:CYBERNETICS,August 2002 pp408-415
[4]张颖,模糊离散事件系统与应用研究,东华大学博士后研究工作报告[D],2006.7
[5]Yu-Chi Ho,Sample path and performance homogeneity of discrete event dynamic systems,Automatica,November 1989,Vol,25(6):907-915
[6]Ramadge P J,Wonham W M.Supervisory control of a class of discrete event processes.SIAM J,Control and Optimization,1987,25:206-230.
[7]阮达,黄崇福,模糊集与模糊信息粒理论,北京师范大学出版社,2000.08
[8]A.Lavrov,"Fuzzy extension of discrete event supervisory control," in Proc.2003 IEEE Int.Symp.Comp.Intell.Robot.Automat.,Kobe,Japan,July 2003,pp.1138-1143
[9]R.Kumar and V.K.Garg,Control of stochastic discrete event systems modeled by probabilistic languages,IEEE Trans.Automat.Contr.,2001,46:593-606
[10]叶阳东,贾利民,模糊离散事件动态系统的研究[C]中国智能自动化学术会议论文集,2001.8,昆明
[11]叶阳东,贾利民,模糊离散事件动态系统相关问题的研究[J],中国铁道科学,2001年,第6期,Vol.22,No.6
[12]黄崇福,冯允成,Fuzzy discrete event dynamic system and technology of simulation in fuzzy number input method,模糊系统与数学,FUZZY SYSTEMS AND MATHFMATTCS
[13]Y.Z.Cao and M.S.Ying,Supervisory control of fuzzy discrete event systems[J],IEEE Transactions on Systems,Man,and Cybernetics—Part B:Cybernetics,2005,35(2):366-371
[14]Y.Z.Cao and M.S.Ying,Observability and decentralized control of fuzzy discrete event systems,available at http://arxiv.org/abs/csDM/0405068,May,2004
[15]Y.Z.Cao,M.S.Ying and G..Q.Chen,State-based control of fuzzy discrete-event systems,IEEE transactions on systems,man,and cybernetics.Part B,Cybernetics,2007Vol.37
[16]L.A.Zadeh,outline of a new approach to the analysis of complex systems and decision Processes,IEEE Trans.Syst.Man,Cyber.,1973,SMC-3:28-44
[17]F.Lin,H.Ying,R.D.MacArthur,J.A.Cohn.D.Barth-Jones,L.R.Crane.A Fuzzy Discrete Event System for HIV/AIDS Treatment.The 14th IEEE International Conference on Fuzzy Systems,Barcelona,Spain,May 22-25,2005.pp 167-172
[18]F.Lin,H.Ying,X.Luan,R.D.MacArthur,J.A.Cohn.Control of Fuzzy Discrete Event Systems and Its Applications to Clinical Treatment Planning,43rd IEEE Conference on Decision and Control,The Bahamas,December 14-17,.pp519-524,2004
[19]F.Lin,H.Ying,X.Luan,R.D.MacArthur,J.A.Cohn,D.Barth-Jones,L.R.Crane.Theory for a Control Architecture of Fuzzy Discrete Event Systems for Decision Making.44th IEEE Conference on Decision and Control,and the European Control Conference,Sevilla,Spain,12-15 December,pp2769-2774,2005
[20]H.Ying,F.Lin,X.D.Luan,R.D.MacArthur,J.A.Cohn,D.C.Barth-Jones,and L.R.Crane,A fuzzy discrete event system for HIV/AIDS treatment planning,In Proc.2004 IEEE Inter.Conf.Fuzzy Syst.,Budapest,Hungary,July 2004,vol.1,pp.197-202
[21]Hao Ying,Feng Lin,R.D.MacArthur,A Fuzzy Discrete Event System approach to Determining Optimal HIV/AIDS Treatment Regimens,Article in Press,Information Sciences,September 2007,Volume 177,Issue 18,Pages 3749-3763
[22]H.Ying,F.Lin,X.-D Luan,R.D.MacArthur,J.A.Cohn,D.C.Barth-Jones,H.Ye,and L.R.Crane,"A Fuzzy Discrete Event System with Self-Learning Capability for HIV/AIDS Treatment Regimen Selection ",Proc of North American Fuzzy Information Processing Society Conference Ann Arbor,MI,USA,June 22-25,2005.
[23].Lin F,Ying H.,MacArthur R.D.,et al.“Decision Making in Fuzzy Discrete Event Systems”,Information Sciences,Vol.177,Issue18,15 September 2007,pp3749-3763.
[24]F Liu et al,Decision making in fuzzy discrete event systems,Information Sciences:an International Journal,September 2007,Vol.177(18):3749-3763.
[25]杨文,事件系统的交叉口信号控制及仿真研究[D],电子科技大学,硕士论文,2007.7
[26]张颖,邵世煌,模糊离散事件系统在信息服务系统中的应用[J],上海交通大学学报,第40卷 第11期,p1901-1906
[27]舒少龙,离散事件系统的可测性分析,同济大学博士论文,2007.7
[28]杨文,模糊离散事件系统监督控制理论,自动化学报[J],2006
[29]彭祖赠,孙韫玉,模糊(Fuzzy)数学及其应用,武汉大学出版社,2007.09,
[30]H.Ying and G.Chen,Necessary Conditions for Some Typical Fuzzy System as Universal Approximators,Automatica,1997,33(7):1333-1338
[31]H.Ying,Sufficient conditions on general fuzzy systems as function approximators,Automatica,1994,30:521-525
[32]A.Paoli and S.Lafortune.Safe diagnosability of discrete event systems[C].In Proceeding 42th IEEE Conference on Decision and Control,2658-2664,December 2003
[33]于梅春,刘泽华,自控在暖通空调系统中的应用和发展,节能技术[J],第21卷,总第118期,p13-19,2003.3
[34]丁永生,计算智能:理论、技术与应用[M],北京:科学出版社,2004.325-340
[35]徐小增,廖庆华,秦忆,智能控制方法的现状及发展[J],佛山科学技术学院学报,第20卷第4期,p14-17,2002.12
[36]M.Heymann,F.Lin and G.Meyer,Multiuser discrete-event control with active events,IEEE transactions on automatic control,2002,47(2):314-318
[37]J.Nie,Constructing fuzzy model by self-organizing counter propagation network,IEEE Trans.on SMC,1995,25(6):963-970
[38]申情,韩燮,对模糊集、粗糙集和Vague集的比较研究[M],计算机工程与应用,p36-39,2007
[39]高庆狮,高小宇,胡月,概率论基本部分与模糊集合理论的统一定义[J],大连理工大学学报,第46卷第1期,p142-146,2006.1
[40]颜全生,中央空调节能系统的设计及实现[J],电力系统及其自动化学报,第15卷第1期,p91-94,2003.2
[41]张光辉,中央空调系统节能探讨,天津商业大学学报[J],第28卷,第3期,pp45-47,2008.5
[42]余晓平,付祥钊,夏热冬冷地区住宅室内热环境质量控制[M],第17卷 第4期,p28-32,2000.10
[43]聂玉强,李安桂,中央空调系统高效节能技术分析与应用,重庆建筑大学学报,第29卷,第1期,2007.2,p85-88
[44]白玫,智能控制理论综述,华北水利水电学院学报[J],第23卷第1期,p58-62,2002.3
[45]Rajibul Huq,George K.I.Mann,Raymond G.Gosine.Behavior-modulation technique in mobile robotics using fuzzy discrete event systems.IEEE Transactions on Robotics.2006,Vol.22(5):903-916.
[46]K.Pahlavart,P.Krishnamurthy,A.Hatami,M.Yliantillai.Handoffin Hybrid Mobile Data Networks[J].IEEE Personal Communications Magazine,2000,7(2):34-47.
[47]刘敏,李忠城,徐刚,张冬梅,马建,异构无线网络中的垂直切换仿真评价模型及评价指标,系统仿真学报,2007.01,Vol.19 No.2:277-281
[48]贺昕,李斌,异构无线网络切换技术,北京邮电大学出版社,2008.06
[49]朱艺华,无线移动网络的移动性管理,人民邮电出版社,2005.10
[50]Qingyang Song,Jamalipour A.A Network Sdection Mechanism for Next Generation Networks[C].IEEE ICC,2005:1418-1422.
[51]Ye Min-hua,Liu Yu,Zhang Hui-min.The Mobile IP Handoff Between Hybrid Networks[C].IEEE PIMRC,2002,1:265-269.
[52]陈山枝,时岩,胡博,移动性管理理论与技术,电了工业出版社,2007.08
[53]Qian Zhang,Chuanxiong Guo,Zihua Guo,Wenwu Zhu.Efficient.Mobility Management for Vertical Handoff between WWAN and WLAN[J].IEEE Communications Magazine,2003,41(11):102-108.
[54]Mark Stemm,Randy H.Katz.Vertical Handoffs in Wireless Overlay Networks[J].ACM Mobile Networldng,1998,3:335-350.
[55]C.Guo,Z.Guo,Q.Zhang,W.Zhu.A Seamless and Proactive End-to-End Mobility Solution for Roaming Across Heterogeneous Wireless Networks[J].IEEE Journal on Selected Areas in Communications,2004,22:834-848.
[56]刘侠,蒋铃鸽,何晨.一种无线异构网络的垂直切换算法[J].上海交通大学学报,2006,40(5):742-746.
[57]刘侠,蒋铃鸽,何晨,一种基于模糊逻辑的预判决辅助垂直切换算法,电子学报,2007.10,Vol.35 No.10:1989-1993.
[58]孙岩,马华东.一种基于终端决策的自适应垂直切换算法【J].铁道学报,2006,28(6):59-63.
[59]Sharma S,Inho Baek,Dodia Y.Omnicon:a Mobile IP-based vertical handoff system for wireless LAN and GPRS links[C].ICPPW,2004:330-337.
[60]W.Wu,N.Banerjee,K.Basu,S.K.Das.SIP-based vertical handoff between WWANs and WLANs[J].IEEE Wireless Communications,2005,12(3):66-72.
[61]H.Schulzrinne,E.Wedlund.Application-Layer Mobility Management Using SIP[J].ACM Mobile Computing and Communications Review,2000:47-57.
[62]L.Ma,F.Yu,V.C.M.Leung,T.Randhawa.A new method to support UMTS/WLAN vertical handover using SCTP[J].IEEE Wireless Communications,2004,11(4):44-51.
[63]Sven Lahde,Michael Doering,Lars Wolf,Dynamic transport layer handover for heterogeneous communication environments,Computer Communications,30(2007)3232-3238
[64]谢胜东,吴蒙,基于模糊控制的垂直切换决定算法,南京邮电大学学报,2007.10,Vol.27 No.5:6-10.
[65]时岩,陈山枝,一种基于QoS满意度评价的mSCTP垂直切换决策方法,微电了学与计算机,2008.02,Vol.25 No.2:9-13
[66]李宗豪,基本通信原理,北京邮电大学出版社,2006.02
[67]王维平,离散事件系统建模与仿真,国防科技大学出版社,1997
[68]顾启泰,离散事件系统建模与仿真,清华大学出版社,1999
[69]Ho Y C,Cassandras C.Computing costate variable for discrete-event systems.Proc.Of 19th Int.Confon Decision and Control,690-700.
[70]Ho,Y.C.& Cao,X.R.Perturbation Analysis of Discrete Event Dynamic Systems,Kluwer Academic Publishers,June 1991,Boston.
[71]R.A.Cuninghame-Green,Fuzzy Sets and Systems,June 1991,Volume 41,Issue 3,Pages:251-267
Minimax Algebra.Lecture Notes in Economics and Mathematical Systems,Vol.166,Springer-Verlag,1979.
[72]徐玖平,吴巍.多属性决策的理论与方法[M].北京:清华大学出版社,2006.
[73]Huq R,Mann G.K.I,Gosine R.G,Behavior-based robot control using fuzzy discrete event system,Fuzzy Systems,2006 IEEE International Conference on,Jan.2006,pp:1146-1153.
[74]Pankaj Kumar,Om Prakash Agrawal,An approximate method for numerical solution of fractional differential equations,Fractional calculus applications in signals and systems,Oct.2006,Vol.86(10):2602-2610.
[75]Li Dan-Mei,Zhou Hui,Lan Wei-Chun,Shao Shi-Huang,A Fuzzy Discrete Event System Approach for Air Conditioning System Control,Computer Science and Information Technology,International Conference on,Aug.2008,pp:791-795.
[76]Danmei Li,Weichun Lan,Hui Zhou,Shihuangi Shao,A Fuzzy Discrete Event System for Air Conditioning System Energy-Saving Control and Optimization,Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing,Sep.2008,pp:257-260.
[77]Erdal Kilic,Diagnosability of fuzzy discrete event systems,Information Sciences:an International Journal,Feb.2008,Vol.178(3):858-870.
[78]Bhowal P,Fault diagnosis in discrete time hybrid systems-A case study.Inform.Sci,March 2007,Vol.177(5):1290-1308.
[79]Cardoso J,Valette R and Dubois D,Possibilistic petri nets.Systems,Man,and Cybernetics,Part B:Cybernetics,IEEE Transactions on,Oct 1999,Vol.29(5):573-582.
[80]Cassandrass C G and Lafortune S,Introduction to Discrete Event Systems,Kluwer Academic Publishers,1999,Boston.
[81]M O.Cordier et al.,Comparing diagnosability criterions in continuous systems and discrete event systems,in:Proceedings of the 17th International Workshop on Principles of Diagnosis DX'06,Spain,2006,pp:55-60.
[82]Dubois D,Hullermeir E and Prade H,Fuzzy set-based methods in instance-based reasoning.IEEE Trans.Fuzzy Systems.Jun 2002,Vol.10(3):322-332.
[83]Hisao H,Katsushi I and Akira I,Three-way two-dimensional alternating finite automata with rotated inputs.Inform.Sci.June 2006,Vol.176(11):1546-1569.
[84]Hongxuan L and Yongming L,Minimization of states in automata theory based on finite lattice-ordered monoids.Inform.Sci.March 2007,Vol.177(6):1413-1421.
[85]Jiang S,Kumar R and Garcia H E.,Diagnosis of repeated intermittent failures in discrete event systems.IEEE Trans Robot Automation.Apr 2003,Vol.19(2):310-323.
[86]Jowers L J,Buckley J J and Reilly K D,Simulating continuous fuzzy systems.Inform.Sci,2007,Vol.177(2):436-448.
[87]Kempf R and Adamy J,Equilibria of recurrent fuzzy systems.Fuzzy Sets Systems.December 2003,Vol.140(2):231-257.
[88]Baroni P,Lamperti G,Pogliano P,Zanella M,Diagnosis of a class of distributed discrete-event systems,Systems,Man and Cybernetics,Part A:Systems and Humans,IEEE Transactions on,Vol.30(6):731-752.
[89]Prodip B,Dipankar S,Siddhartha M and Anupam B,Fault diagnosis in discrete time hybrid systems-A case study.Inform.Sci,March 2007,Vol.177(5):1290-1308.
[90]Qiu D W,Supervisory control of fuzzy discrete event systems:a formal approach.IEEE Trans.Systems Man Cybern:B.February 2005,Vol.35(1):72-88.
[91]Qiu W and Kumar R,Decentralized failure diagnosis of discrete event systems,IEEE transactions on Systems.Man Cybern.:A.March 2006,Vol.36(2):384-395.
[92]Sampath M,Diagnosibility of discrete event systems.IEEE Trans.Automatic Control.Sep 1995,Vol.40(9):1555-1575.
[93]Zhihui L,Ping L and Yongming L,The relationships among several types of fuzzy automata.Inform.Sci.August 2006,Vol.176(15):2208-2226.
[94]Yu-Chang Chen,Ja-Hsing Hsia,Yi-Ju Liao,Advanced seamless vertical handoff architecture for WiMAX and WiFi heterogeneous networks with QoS guarantees,Computer Communications,February 2009,Vol.32(2):281-293
[95]S N Enrique,V W S Wong,Y Lin,A vertical handoff decision algorithm for heterogeneous wireless networks,in:IEEE Wireless Communications and Networking Conference,March 2007,pp:3199-3204.
[96]A Mehbodniya,J Chitizadeh,An intelligent vertical handoffalgorithm for next generation wireless networks,in:Second IFIP International Conference on Wireless and Optical Communications Networks,March 2005,pp:244-249.
[97]A H Zahran,B Liang,Performance evaluation framework for vertical handoff algorithms in heterogeneous networks,communications,in:IEEE International Conference,May 2005,Vol.1,pp:173-178.
[98]S Chebbine,M T Chebbine,A Obaid,R Johnston,Framework architecture for internet content adaptation system and vertical handover management on 4G networks,in:Wireless Telecommunications Symposium,April 2005,pp:34-44.
[99]C Makaya,S Pierre,Efficient handoff scheme for heterogeneous IPv6-based wireless networks,in:IEEE Wireless Communications and Networking Conference,March 2007,pp:3256-3261.
[100]C Makaya,S Pierre,Handoffprotocol for heterogeneous All-lP-based wireless networks,in:Canadian Conference on Electrical and Computer Engineering,May 2006,pp:223-226.
[101]C J Kao,W Liao,C H Chien,J C Liu,Improving TCP performance in heterogeneous mobile networks,in:The 57th IEEE Vehicular Technology Conference,Semiannual,April 2003,Vol.3,pp:1735-1738.
[102]V S Kaulgud,S A Mondal,Exploiting multihoming for low latency handoffin heterogeneous networks,in:Proceedings of the 8th International Conference Telecommunications,June 2005,Vol.1,pp:49-55.
[103]Ying-Hong Wang;Chih-Peng Hsu;Jeng-You Lai.A mobile IPv6 based seamless handoff strategy for heterogeneous wireless networks.Computer and Information Technology,The Fourth International Conference on,Sept.2004,pp:600-605.
[104]M Hossain,A K Elhakeem,W Hamouda,Handofflatency improvement using multicasting schemes in heterogeneous networks,in:16th IEEE International Symposium Indoor and Mobile Radio Communications,Sept.2005,Vol.4,pp:2766-2770.
[105]H Aghvami,N Sattari,O Holland,P Pangalos,Group handover among heterogeneous wireless networks,in:IEEE Mediterranean Electrotechnical Conference,May 2006,pp:607-612.
[106]K Murray,D Pesch,Intelligent network access and inter-system handover control in heterogeneous wireless,,Wireless Communication Systems,2004.1st International Symposium on Sept.2004,pp:66-70.
[107]Ariana Dirani,Chadi Tarhini,Tijani Chahed,Cross-layer modeling of capacity in wireless networks:Application to UMTS/HSDPA,IEEE802.11 WLAN and IEEE802.16WiMAX,in:Computer Communications,Nov 2007,Vol.30(17):3384-3391
[108]D Lee,Y Hart,J Hwang,QoS-Based vertical handoffdecision algorithm in heterogeneous systems,in:IEEE 17th International Symposium Indoor and Mobile Radio Communications,Sept.2006,pp:1-5.
[109]R Rajavelsamy,Jeedigunta Venkateswar,Song Osok,A novel method for authentication optimization during handover in heterogeneous wireless networks,in:Second International Conference Communication Systems Software and Middleware,Jan.2007,pp:1-5.
[110]D.Zhao,X.Shen,J.W.Mark,Call admission control for heterogeneous services in wireless networks,in:IEEE International Conference Communications,2000,Vol.2,pp:964-968.
[2]F.Lin and H.Ying,Fuzzy discrete event systems and their observability[C],in Proceeding Joint International Conference 9th International Fuzzy Systems Association and World Congregation 20th North American Fuzzy Information Processing Society,Vancouver,BC,Canada,July 2001,pp.1271-1276
[3]Feng Lin and Hao Ying.Modeling and control of fuzzy discrete event systems.IEEE TRANSACTIONS ON SYSTEMS,MAN,AND CYBERNETICS—PARTB:CYBERNETICS,August 2002 pp408-415
[4]张颖,模糊离散事件系统与应用研究,东华大学博士后研究工作报告[D],2006.7
[5]Yu-Chi Ho,Sample path and performance homogeneity of discrete event dynamic systems,Automatica,November 1989,Vol,25(6):907-915
[6]Ramadge P J,Wonham W M.Supervisory control of a class of discrete event processes.SIAM J,Control and Optimization,1987,25:206-230.
[7]阮达,黄崇福,模糊集与模糊信息粒理论,北京师范大学出版社,2000.08
[8]A.Lavrov,"Fuzzy extension of discrete event supervisory control," in Proc.2003 IEEE Int.Symp.Comp.Intell.Robot.Automat.,Kobe,Japan,July 2003,pp.1138-1143
[9]R.Kumar and V.K.Garg,Control of stochastic discrete event systems modeled by probabilistic languages,IEEE Trans.Automat.Contr.,2001,46:593-606
[10]叶阳东,贾利民,模糊离散事件动态系统的研究[C]中国智能自动化学术会议论文集,2001.8,昆明
[11]叶阳东,贾利民,模糊离散事件动态系统相关问题的研究[J],中国铁道科学,2001年,第6期,Vol.22,No.6
[12]黄崇福,冯允成,Fuzzy discrete event dynamic system and technology of simulation in fuzzy number input method,模糊系统与数学,FUZZY SYSTEMS AND MATHFMATTCS
[13]Y.Z.Cao and M.S.Ying,Supervisory control of fuzzy discrete event systems[J],IEEE Transactions on Systems,Man,and Cybernetics—Part B:Cybernetics,2005,35(2):366-371
[14]Y.Z.Cao and M.S.Ying,Observability and decentralized control of fuzzy discrete event systems,available at http://arxiv.org/abs/csDM/0405068,May,2004
[15]Y.Z.Cao,M.S.Ying and G..Q.Chen,State-based control of fuzzy discrete-event systems,IEEE transactions on systems,man,and cybernetics.Part B,Cybernetics,2007Vol.37
[16]L.A.Zadeh,outline of a new approach to the analysis of complex systems and decision Processes,IEEE Trans.Syst.Man,Cyber.,1973,SMC-3:28-44
[17]F.Lin,H.Ying,R.D.MacArthur,J.A.Cohn.D.Barth-Jones,L.R.Crane.A Fuzzy Discrete Event System for HIV/AIDS Treatment.The 14th IEEE International Conference on Fuzzy Systems,Barcelona,Spain,May 22-25,2005.pp 167-172
[18]F.Lin,H.Ying,X.Luan,R.D.MacArthur,J.A.Cohn.Control of Fuzzy Discrete Event Systems and Its Applications to Clinical Treatment Planning,43rd IEEE Conference on Decision and Control,The Bahamas,December 14-17,.pp519-524,2004
[19]F.Lin,H.Ying,X.Luan,R.D.MacArthur,J.A.Cohn,D.Barth-Jones,L.R.Crane.Theory for a Control Architecture of Fuzzy Discrete Event Systems for Decision Making.44th IEEE Conference on Decision and Control,and the European Control Conference,Sevilla,Spain,12-15 December,pp2769-2774,2005
[20]H.Ying,F.Lin,X.D.Luan,R.D.MacArthur,J.A.Cohn,D.C.Barth-Jones,and L.R.Crane,A fuzzy discrete event system for HIV/AIDS treatment planning,In Proc.2004 IEEE Inter.Conf.Fuzzy Syst.,Budapest,Hungary,July 2004,vol.1,pp.197-202
[21]Hao Ying,Feng Lin,R.D.MacArthur,A Fuzzy Discrete Event System approach to Determining Optimal HIV/AIDS Treatment Regimens,Article in Press,Information Sciences,September 2007,Volume 177,Issue 18,Pages 3749-3763
[22]H.Ying,F.Lin,X.-D Luan,R.D.MacArthur,J.A.Cohn,D.C.Barth-Jones,H.Ye,and L.R.Crane,"A Fuzzy Discrete Event System with Self-Learning Capability for HIV/AIDS Treatment Regimen Selection ",Proc of North American Fuzzy Information Processing Society Conference Ann Arbor,MI,USA,June 22-25,2005.
[23].Lin F,Ying H.,MacArthur R.D.,et al.“Decision Making in Fuzzy Discrete Event Systems”,Information Sciences,Vol.177,Issue18,15 September 2007,pp3749-3763.
[24]F Liu et al,Decision making in fuzzy discrete event systems,Information Sciences:an International Journal,September 2007,Vol.177(18):3749-3763.
[25]杨文,事件系统的交叉口信号控制及仿真研究[D],电子科技大学,硕士论文,2007.7
[26]张颖,邵世煌,模糊离散事件系统在信息服务系统中的应用[J],上海交通大学学报,第40卷 第11期,p1901-1906
[27]舒少龙,离散事件系统的可测性分析,同济大学博士论文,2007.7
[28]杨文,模糊离散事件系统监督控制理论,自动化学报[J],2006
[29]彭祖赠,孙韫玉,模糊(Fuzzy)数学及其应用,武汉大学出版社,2007.09,
[30]H.Ying and G.Chen,Necessary Conditions for Some Typical Fuzzy System as Universal Approximators,Automatica,1997,33(7):1333-1338
[31]H.Ying,Sufficient conditions on general fuzzy systems as function approximators,Automatica,1994,30:521-525
[32]A.Paoli and S.Lafortune.Safe diagnosability of discrete event systems[C].In Proceeding 42th IEEE Conference on Decision and Control,2658-2664,December 2003
[33]于梅春,刘泽华,自控在暖通空调系统中的应用和发展,节能技术[J],第21卷,总第118期,p13-19,2003.3
[34]丁永生,计算智能:理论、技术与应用[M],北京:科学出版社,2004.325-340
[35]徐小增,廖庆华,秦忆,智能控制方法的现状及发展[J],佛山科学技术学院学报,第20卷第4期,p14-17,2002.12
[36]M.Heymann,F.Lin and G.Meyer,Multiuser discrete-event control with active events,IEEE transactions on automatic control,2002,47(2):314-318
[37]J.Nie,Constructing fuzzy model by self-organizing counter propagation network,IEEE Trans.on SMC,1995,25(6):963-970
[38]申情,韩燮,对模糊集、粗糙集和Vague集的比较研究[M],计算机工程与应用,p36-39,2007
[39]高庆狮,高小宇,胡月,概率论基本部分与模糊集合理论的统一定义[J],大连理工大学学报,第46卷第1期,p142-146,2006.1
[40]颜全生,中央空调节能系统的设计及实现[J],电力系统及其自动化学报,第15卷第1期,p91-94,2003.2
[41]张光辉,中央空调系统节能探讨,天津商业大学学报[J],第28卷,第3期,pp45-47,2008.5
[42]余晓平,付祥钊,夏热冬冷地区住宅室内热环境质量控制[M],第17卷 第4期,p28-32,2000.10
[43]聂玉强,李安桂,中央空调系统高效节能技术分析与应用,重庆建筑大学学报,第29卷,第1期,2007.2,p85-88
[44]白玫,智能控制理论综述,华北水利水电学院学报[J],第23卷第1期,p58-62,2002.3
[45]Rajibul Huq,George K.I.Mann,Raymond G.Gosine.Behavior-modulation technique in mobile robotics using fuzzy discrete event systems.IEEE Transactions on Robotics.2006,Vol.22(5):903-916.
[46]K.Pahlavart,P.Krishnamurthy,A.Hatami,M.Yliantillai.Handoffin Hybrid Mobile Data Networks[J].IEEE Personal Communications Magazine,2000,7(2):34-47.
[47]刘敏,李忠城,徐刚,张冬梅,马建,异构无线网络中的垂直切换仿真评价模型及评价指标,系统仿真学报,2007.01,Vol.19 No.2:277-281
[48]贺昕,李斌,异构无线网络切换技术,北京邮电大学出版社,2008.06
[49]朱艺华,无线移动网络的移动性管理,人民邮电出版社,2005.10
[50]Qingyang Song,Jamalipour A.A Network Sdection Mechanism for Next Generation Networks[C].IEEE ICC,2005:1418-1422.
[51]Ye Min-hua,Liu Yu,Zhang Hui-min.The Mobile IP Handoff Between Hybrid Networks[C].IEEE PIMRC,2002,1:265-269.
[52]陈山枝,时岩,胡博,移动性管理理论与技术,电了工业出版社,2007.08
[53]Qian Zhang,Chuanxiong Guo,Zihua Guo,Wenwu Zhu.Efficient.Mobility Management for Vertical Handoff between WWAN and WLAN[J].IEEE Communications Magazine,2003,41(11):102-108.
[54]Mark Stemm,Randy H.Katz.Vertical Handoffs in Wireless Overlay Networks[J].ACM Mobile Networldng,1998,3:335-350.
[55]C.Guo,Z.Guo,Q.Zhang,W.Zhu.A Seamless and Proactive End-to-End Mobility Solution for Roaming Across Heterogeneous Wireless Networks[J].IEEE Journal on Selected Areas in Communications,2004,22:834-848.
[56]刘侠,蒋铃鸽,何晨.一种无线异构网络的垂直切换算法[J].上海交通大学学报,2006,40(5):742-746.
[57]刘侠,蒋铃鸽,何晨,一种基于模糊逻辑的预判决辅助垂直切换算法,电子学报,2007.10,Vol.35 No.10:1989-1993.
[58]孙岩,马华东.一种基于终端决策的自适应垂直切换算法【J].铁道学报,2006,28(6):59-63.
[59]Sharma S,Inho Baek,Dodia Y.Omnicon:a Mobile IP-based vertical handoff system for wireless LAN and GPRS links[C].ICPPW,2004:330-337.
[60]W.Wu,N.Banerjee,K.Basu,S.K.Das.SIP-based vertical handoff between WWANs and WLANs[J].IEEE Wireless Communications,2005,12(3):66-72.
[61]H.Schulzrinne,E.Wedlund.Application-Layer Mobility Management Using SIP[J].ACM Mobile Computing and Communications Review,2000:47-57.
[62]L.Ma,F.Yu,V.C.M.Leung,T.Randhawa.A new method to support UMTS/WLAN vertical handover using SCTP[J].IEEE Wireless Communications,2004,11(4):44-51.
[63]Sven Lahde,Michael Doering,Lars Wolf,Dynamic transport layer handover for heterogeneous communication environments,Computer Communications,30(2007)3232-3238
[64]谢胜东,吴蒙,基于模糊控制的垂直切换决定算法,南京邮电大学学报,2007.10,Vol.27 No.5:6-10.
[65]时岩,陈山枝,一种基于QoS满意度评价的mSCTP垂直切换决策方法,微电了学与计算机,2008.02,Vol.25 No.2:9-13
[66]李宗豪,基本通信原理,北京邮电大学出版社,2006.02
[67]王维平,离散事件系统建模与仿真,国防科技大学出版社,1997
[68]顾启泰,离散事件系统建模与仿真,清华大学出版社,1999
[69]Ho Y C,Cassandras C.Computing costate variable for discrete-event systems.Proc.Of 19th Int.Confon Decision and Control,690-700.
[70]Ho,Y.C.& Cao,X.R.Perturbation Analysis of Discrete Event Dynamic Systems,Kluwer Academic Publishers,June 1991,Boston.
[71]R.A.Cuninghame-Green,Fuzzy Sets and Systems,June 1991,Volume 41,Issue 3,Pages:251-267
Minimax Algebra.Lecture Notes in Economics and Mathematical Systems,Vol.166,Springer-Verlag,1979.
[72]徐玖平,吴巍.多属性决策的理论与方法[M].北京:清华大学出版社,2006.
[73]Huq R,Mann G.K.I,Gosine R.G,Behavior-based robot control using fuzzy discrete event system,Fuzzy Systems,2006 IEEE International Conference on,Jan.2006,pp:1146-1153.
[74]Pankaj Kumar,Om Prakash Agrawal,An approximate method for numerical solution of fractional differential equations,Fractional calculus applications in signals and systems,Oct.2006,Vol.86(10):2602-2610.
[75]Li Dan-Mei,Zhou Hui,Lan Wei-Chun,Shao Shi-Huang,A Fuzzy Discrete Event System Approach for Air Conditioning System Control,Computer Science and Information Technology,International Conference on,Aug.2008,pp:791-795.
[76]Danmei Li,Weichun Lan,Hui Zhou,Shihuangi Shao,A Fuzzy Discrete Event System for Air Conditioning System Energy-Saving Control and Optimization,Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing,Sep.2008,pp:257-260.
[77]Erdal Kilic,Diagnosability of fuzzy discrete event systems,Information Sciences:an International Journal,Feb.2008,Vol.178(3):858-870.
[78]Bhowal P,Fault diagnosis in discrete time hybrid systems-A case study.Inform.Sci,March 2007,Vol.177(5):1290-1308.
[79]Cardoso J,Valette R and Dubois D,Possibilistic petri nets.Systems,Man,and Cybernetics,Part B:Cybernetics,IEEE Transactions on,Oct 1999,Vol.29(5):573-582.
[80]Cassandrass C G and Lafortune S,Introduction to Discrete Event Systems,Kluwer Academic Publishers,1999,Boston.
[81]M O.Cordier et al.,Comparing diagnosability criterions in continuous systems and discrete event systems,in:Proceedings of the 17th International Workshop on Principles of Diagnosis DX'06,Spain,2006,pp:55-60.
[82]Dubois D,Hullermeir E and Prade H,Fuzzy set-based methods in instance-based reasoning.IEEE Trans.Fuzzy Systems.Jun 2002,Vol.10(3):322-332.
[83]Hisao H,Katsushi I and Akira I,Three-way two-dimensional alternating finite automata with rotated inputs.Inform.Sci.June 2006,Vol.176(11):1546-1569.
[84]Hongxuan L and Yongming L,Minimization of states in automata theory based on finite lattice-ordered monoids.Inform.Sci.March 2007,Vol.177(6):1413-1421.
[85]Jiang S,Kumar R and Garcia H E.,Diagnosis of repeated intermittent failures in discrete event systems.IEEE Trans Robot Automation.Apr 2003,Vol.19(2):310-323.
[86]Jowers L J,Buckley J J and Reilly K D,Simulating continuous fuzzy systems.Inform.Sci,2007,Vol.177(2):436-448.
[87]Kempf R and Adamy J,Equilibria of recurrent fuzzy systems.Fuzzy Sets Systems.December 2003,Vol.140(2):231-257.
[88]Baroni P,Lamperti G,Pogliano P,Zanella M,Diagnosis of a class of distributed discrete-event systems,Systems,Man and Cybernetics,Part A:Systems and Humans,IEEE Transactions on,Vol.30(6):731-752.
[89]Prodip B,Dipankar S,Siddhartha M and Anupam B,Fault diagnosis in discrete time hybrid systems-A case study.Inform.Sci,March 2007,Vol.177(5):1290-1308.
[90]Qiu D W,Supervisory control of fuzzy discrete event systems:a formal approach.IEEE Trans.Systems Man Cybern:B.February 2005,Vol.35(1):72-88.
[91]Qiu W and Kumar R,Decentralized failure diagnosis of discrete event systems,IEEE transactions on Systems.Man Cybern.:A.March 2006,Vol.36(2):384-395.
[92]Sampath M,Diagnosibility of discrete event systems.IEEE Trans.Automatic Control.Sep 1995,Vol.40(9):1555-1575.
[93]Zhihui L,Ping L and Yongming L,The relationships among several types of fuzzy automata.Inform.Sci.August 2006,Vol.176(15):2208-2226.
[94]Yu-Chang Chen,Ja-Hsing Hsia,Yi-Ju Liao,Advanced seamless vertical handoff architecture for WiMAX and WiFi heterogeneous networks with QoS guarantees,Computer Communications,February 2009,Vol.32(2):281-293
[95]S N Enrique,V W S Wong,Y Lin,A vertical handoff decision algorithm for heterogeneous wireless networks,in:IEEE Wireless Communications and Networking Conference,March 2007,pp:3199-3204.
[96]A Mehbodniya,J Chitizadeh,An intelligent vertical handoffalgorithm for next generation wireless networks,in:Second IFIP International Conference on Wireless and Optical Communications Networks,March 2005,pp:244-249.
[97]A H Zahran,B Liang,Performance evaluation framework for vertical handoff algorithms in heterogeneous networks,communications,in:IEEE International Conference,May 2005,Vol.1,pp:173-178.
[98]S Chebbine,M T Chebbine,A Obaid,R Johnston,Framework architecture for internet content adaptation system and vertical handover management on 4G networks,in:Wireless Telecommunications Symposium,April 2005,pp:34-44.
[99]C Makaya,S Pierre,Efficient handoff scheme for heterogeneous IPv6-based wireless networks,in:IEEE Wireless Communications and Networking Conference,March 2007,pp:3256-3261.
[100]C Makaya,S Pierre,Handoffprotocol for heterogeneous All-lP-based wireless networks,in:Canadian Conference on Electrical and Computer Engineering,May 2006,pp:223-226.
[101]C J Kao,W Liao,C H Chien,J C Liu,Improving TCP performance in heterogeneous mobile networks,in:The 57th IEEE Vehicular Technology Conference,Semiannual,April 2003,Vol.3,pp:1735-1738.
[102]V S Kaulgud,S A Mondal,Exploiting multihoming for low latency handoffin heterogeneous networks,in:Proceedings of the 8th International Conference Telecommunications,June 2005,Vol.1,pp:49-55.
[103]Ying-Hong Wang;Chih-Peng Hsu;Jeng-You Lai.A mobile IPv6 based seamless handoff strategy for heterogeneous wireless networks.Computer and Information Technology,The Fourth International Conference on,Sept.2004,pp:600-605.
[104]M Hossain,A K Elhakeem,W Hamouda,Handofflatency improvement using multicasting schemes in heterogeneous networks,in:16th IEEE International Symposium Indoor and Mobile Radio Communications,Sept.2005,Vol.4,pp:2766-2770.
[105]H Aghvami,N Sattari,O Holland,P Pangalos,Group handover among heterogeneous wireless networks,in:IEEE Mediterranean Electrotechnical Conference,May 2006,pp:607-612.
[106]K Murray,D Pesch,Intelligent network access and inter-system handover control in heterogeneous wireless,,Wireless Communication Systems,2004.1st International Symposium on Sept.2004,pp:66-70.
[107]Ariana Dirani,Chadi Tarhini,Tijani Chahed,Cross-layer modeling of capacity in wireless networks:Application to UMTS/HSDPA,IEEE802.11 WLAN and IEEE802.16WiMAX,in:Computer Communications,Nov 2007,Vol.30(17):3384-3391
[108]D Lee,Y Hart,J Hwang,QoS-Based vertical handoffdecision algorithm in heterogeneous systems,in:IEEE 17th International Symposium Indoor and Mobile Radio Communications,Sept.2006,pp:1-5.
[109]R Rajavelsamy,Jeedigunta Venkateswar,Song Osok,A novel method for authentication optimization during handover in heterogeneous wireless networks,in:Second International Conference Communication Systems Software and Middleware,Jan.2007,pp:1-5.
[110]D.Zhao,X.Shen,J.W.Mark,Call admission control for heterogeneous services in wireless networks,in:IEEE International Conference Communications,2000,Vol.2,pp:964-968.