跳到主要內容

臺灣博碩士論文加值系統

(44.210.149.205) 您好!臺灣時間:2024/04/16 19:05
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:林宏武
研究生(外文):Hong-Wu Lin
論文名稱:可變連線數的TCP網路之模糊AQM路由器設計
論文名稱(外文):Fuzzy AQM Router Design for Varying Numbers of Session TCP Networks
指導教授:蔡國煇蔡國煇引用關係
指導教授(外文):Kuo-Hui Tsai
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:英文
論文頁數:75
中文關鍵詞:AQM 路由器TCP 網路Takagi-Sugeno 模糊模型模糊控制疊代線性矩陣不等式演算法
外文關鍵詞:AQM routerTCP NetworkTakagi-Sugeno fuzzy modelFuzzy controllerIterative Linear Matrix Inequality Algorithm
相關次數:
  • 被引用被引用:0
  • 點閱點閱:150
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
許多的網路研究都使用AQM來解決網際網路應用增加所帶來的問題。動態的TCP模型已經被推薦使用,而TCP的連線數、連結的傳輸速率和往返時間,這三個主要的參數和具回饋的控制問題有關。可是在過去的研究中TCP的連線數在TCP模型中都被當作固定常數使用。事實上TCP的連接數是隨著時間變化。在本篇論文,我們將推導T-S fuzzy 模型來模擬變動連接數的TCP網路。然後透過這個模型設計控制器。實驗的結果顯示當TCP的連接數隨著時間變化時我們的控制器也有很好的效能。
Networking researchers have proposed AQM (Active Queue Management) to be used in routers to meet the increasing demand of Internet applications. The dynamic model of Transmission Control Protocol (TCP) has been proposed such that three key parameters, number of TCP sessions, link capacity and round-trip time are related to a feedback control problem. However the number of TCP sessions was assumed to be constant in previous work. In fact, the number of sessions TCP network could vary from time to time. In this paper, we will develop a Takagi-Sugeno(T-S) fuzzy model to simulate the behavior of varying numbers of session nonlinear TCP network. Then we will use the T-S fuzzy model to design the fuzzy controller. The result of simulations shows that our controller provides robust performance when the number of TCP sessions varies from time to time.
TABLE OF CONTENTS

Page
ABSTRACT II
ACRONYMS III
LIST OF FIGURES IV
LIST OF TABLES V

CHAPTER 1 INTRODUCTION
1.1 Motivation and Purposes 1
1.2 Review of Previous Works 2
1.3 Organization of the Paper 6

CHAPTER 2 Mathematical Modeling of Nonlinear TCP Network via T-S Fuzzy Approach
2.1 Dynamic Model of a TCP Network 7
2.2 Affine T-S Fuzzy Modeling of the Varying Sessions TCP Network 11
2.3 Experimental Results 14
2.4 Summary 19

CHAPTER 3 Takagi-Sugeno Fuzzy Controller Design of TCP
Network with AQM Routers
3.1 Very Numbers of Session Takagi-Sugeno Fuzzy Controller Design with the Lyapunov Stability Approach 20
3.2 Solutions of Takagi-Sugeno Fuzzy Controller Design via the Iterative Linear Matrix Inequality Algorithm 36
3.3 Summary 43

CHAPTER 4 Computer Simulations and Discussions
4.1 The example of T-S fuzzy controller 44
4.2 Comparisons of robust T-S Fuzzy Controllers with RED and T-S Fuzzy Controllers via Experiment Studies 51
4.3 Summary 61

CHAPTER 5 Conclusions and Future Works
5.1 Conclusions 62
5.2 Future Works 62

Reference 63
[1] V. Jacobson, “Congestion Avoidance and Control,” Proc. of ACM/SIGCOMM, pp. 314-329, 1988.
[2] V. Misra, W. B. Gong and D. Towsley “Stochastic Differential Equation Modeling and Analysis of TCP Windowsize Behavior,” Technical Report ECE-TR-CCS-99-10-01, 1999. Presented at Performance 99, October 1999 Istanbul.
[3] L. Arnold, Stochastic Differential Equations Theory and Applications, Wiley, New York, 1974.
[4] J. Padhye, V. Firoiu, D. Towsley and J. Kurose, “Modeling TCP Throughput: A Simple Model and Its Empirical Validation,” Proc. of ACM/SIGCOMM, 1998.
[5] V. Misra, W. Gong and D. Towsley, “Fluid-based Analysis of a Network of AQM Routers Supporting TCP Flows with an Application of RED,” Proc. of 2000 ACM SIGCOMM, Stockholm, Sweden, pp. 151-160, 2000.
[6] C. V. Hollot, V. Misra, D. Towsley and W. Gong, “A Control Theoretic Analysis of RED,” in Proceedings of IEEE/INFOCOM, April 2001.
[7] T. Takagi and M. Sugeno, “Fuzzy Identification of Systems and Its Applications to Modeling and Control,” IEEE Trans. on Syst., Man, Cybern., Vol. SMC-15, No. 1, pp. 116-132, 1985.
[8] K. Tanaka and M. Sugeno, “Stability Analysis and Design of Fuzzy Control Systems,” Fuzzy Sets and Systems, Vol. 45, No. 2, pp. 135-156, 1992.
[9] H. O. Wang, K. Tanaka and M. F. Griffin, “An Approach to Fuzzy Control of Nonlinear System: Stability and Design Issues,” IEEE Trans. on Fuzzy System, Vol. 4, No. 2, pp.14-23, 1996.
[10] K. Tanaka and H. O. Wang, Fuzzy Control System Design and Analysis – A Linear Matrix Inequality Approach, John Wiley & Son Inc., 2001.
[11] F. Cuesta, F. Gordillo, J. Aracil and A. Ollero, “Stability Analysis of Nonlinear Multivariable Takagi-Sugeno Fuzzy Control Systems,” IEEE Trans. on Fuzzy Systems, Vol. 7, No.5, pp. 505-520, 1999.
[12] W. J. Chang, “Model-Based Fuzzy Controller Design with Common Observability Gramian Assignment”, ASME, J. Dynamic Systems, Measurement and Control, Vol. 123,No. 1, pp. 113-116, 2001.
[13] W. J. Chang and C. C. Sun, “Constrained Fuzzy Controller Design of Discrete Takagi-Sugeno Fuzzy Models”, Fuzzy Sets and Systems, Vol. 133, No. 1, pp. 37-55, 2003.
[14] W. J. Chang, “Fuzzy Controller Design via the Inverse Solution of Lyapunov Equations”, ASME, J. Dynamic Systems, Measurement and Control, Vol. 125, No. 1, pp. 42-47, 2003.
[15] W. J. Chang and C. C. Shing, “Robust Covariance Control for Discrete System by Takagi-Sugeno Fuzzy Controllers”, ISA Transactions, Vol. 43, No. 3, pp. 377-387, 2004.
[16] W. J. Chang, C. C. Sun and H. Y. Chung, “Fuzzy Controller Design for Discrete Controllability Canonical Takagi-Sugeno Fuzzy Systems”, IEE Proceeding, Part D,Control Theory and Applications, Vol. 151, No. 3, pp. 319-328, 2004.
[17] H. Y. Chu, K. H. Tsai, W. J. Chang and Y. T. Meng, “AQM Router Design via T-S Fuzzy Control Technique”, Proc. of 2005 CACS Automatic Control Conference , Tainan, Taiwan, R. O. C., p. E00009d, 2005.
[18] S. Floyd, “The Explicit Congestion Notification in TCP/IP,”
ttp://www.icir.org/floyd/ecn.html .
[19] D. Chiu and R. Jain, “Analysis of the Increase/Decrease Algorithms for Congestion Avoidance in Computer Networks,” Computer Networks and ISDN, Vol. 17, No. 1, pp.1-14, 1989.
[20] E. C. Park, H. Lim, K. J. Park and C. H. Choi, “Anaysis of the Virtual Rate Control Algorithm in TCP Networks,” Proc. of IEEE Globecom, Taipei, Taiwan, Vol. 3, pp.2619-2623, 2002.
[21] H. Lim, K. J. Park, E. C. Park, and C. H. Choi, “Active Queue Management Algorithm with a Rate Regulator,” Proc. of 15st IFAC World Congress on Automatic Control, Vol.T-We-M02, Barcelona, Spain, 2002.
[22] S. Floyd, V. Jacobson, “Random Early Detection Gateways for Congestion Avoidance,”IEEE/ACM Trans. on Networking, Vol.1, No. 4, pp. 397-413, 1993.
[23] C. V. Hollot, V. Misra, D. Towsley and W. Gong, “Analysis and Design of Controllers for AQM Routers Supporting TCP flows,” IEEE Trans. on Automatic Control, Vol. 47,No. 6, pp. 945-959, 2002.
[24] T. J. Ott, T. V. Lakshman and L. Wong, “SRED: Stabilized RED,” Proc. of IEEE Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies, New York, USA, Vol. 3, pp, 1346-1355, 1999.
[25] S. Athuraliya, S. H. Low, V. H. Li, and Q. Yin, “REM: Active Queue Management,” IEEE Network Magazine, Vol. 15, No. 3, pp. 48-53, 2001.
[26] J. Aweya, M. Ouellette and D.Y. Montuno, “A Control Theoretic Approach to Active Queue Management,” Computer Networks, Vol. 36, No. 2–3, pp. 203–235, 2001.
[27] S. S. Kunniyur and R. Srikant, “An Adaptive Virtual Queue (AVQ) Algorithm for Active Queue Management,” IEEE/ACM Trans. on Networking, Vol. 12, No. 2, pp. 286-299, 2004.
[28] E. C. Park, H. Lim, K. J. Park and C. H. Choi, “Analysis and Design of the Virtual Rate Control Algorithm for Stabilizing Queues in TCP Networks,” Computer Networks, Vol.44, No. 1, pp. 17-41, 2004.
[29] L. A. Zadeh, “Fuzzy Sets,” Information and Control, Vol. 8, pp. 338-353, 1965.
[30] E. H. Mamdani, “Application of Fuzzy Algorithm for Control of Simple Dynamic Plant,” Proc. of Inst. Elect. Eng. Contr. Sci., Vol. 121, pp. 1585–1588, 1974.
[31] E. H. Mamdani and S. Assilian, “An Experiment in Linguistic Synthesis with a Fuzzy Logic Controllers,” Int. Journal of Man Machine Studies, Vol. 7, No. 1, pp. 1-13, 1975.
[32] E. H. Mamdani, “Advances in the Linguistic Synthesis of Fuzzy Controllers,” Int. Journal of Man Machine Studies, Vol. 8, No. 6, pp. 669-678, 1976.
[33] C. M. Close and D. K. Frederick, Modeling and Analysis of Dynamic Systems, Second Edition, Houghton Mifflin Company, Boston, 1993.
[34] J. D. Aplevich, The Essentials of Linear State-Space Systems, John Wiley & Sons, Inc., New York, 2000.
[35] J. Hale, Theory of Functional Differential Equations, Springer, New York, 1977.
[36] S. Boyd, L. E. Ghaoui, E. Feron and V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, SIAM, Philadelphia, PA, 1994.
[37] W. J. Wang and W. W. Lin, “State Feedback Stabilization for T-S Fuzzy Time-Delay Systems,” Proc. of the 2003 IEEE International Conference on Fuzzy Systems, Vol. 1, pp.561-565, 2003.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top