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研究生:楊正婷
論文名稱:以模糊理論為基礎探討可變TCP節點之TCP/AQM路由器的壅塞控制
論文名稱(外文):Fuzzy Based Congestion Control of TCP/AQM Router with Varying TCP Sessions
指導教授:張文哲張文哲引用關係
指導教授(外文):Wen-Jer Chang
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:輪機工程系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:英文
論文頁數:78
中文關鍵詞:擾動T-S模糊模型TCP網絡系統壅塞控制強健模糊控制
外文關鍵詞:Perturbed Takagi-Sugeno fuzzy modelTCP network systemcongestion controlrobust fuzzy control
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由於傳輸控制協議(TCP)終端機的數量通常不時會變化,本文使用擾動的T-S模糊模型來表現動態傳輸控制協議的網絡系統。根據所提出的擾動T-S模糊模型,使用強大的模糊控制器設計方法,以避免傳輸控制協議網路系統的壅塞。為了完成上述任務,根據Lyapunov穩定性理論,推導出一些充分條件。經由解決這些充分的穩定性條件,可以透過被提出的強健模糊壅塞控制技術,獲得主動隊列管理的路由器。
Due to the number of transmission control protocol sessions usually varies from time to time, a perturbed Takagi-Sugeno fuzzy model is used in this paper to represent the dynamic transmission control protocol network systems. According to the proposed perturbed Takagi-Sugeno fuzzy model, a robust fuzzy controller design approach is investigated to achieve the congestion avoidance for the transmission control protocol network systems. In order to accomplish the above mission, some sufficient conditions are derived based on the Lyapunov stability theory. By solving these sufficient stability conditions, an active queue management router can be obtained via the proposed robust fuzzy congestion control technique.
Index of Chapters and Sections
page
Abstract
Nomenclature
List of Figures &; Table
Index of Chapters and Sections

Chapter 1 Introduction
1.1 Background and Motivation
1.2 Review of Previous Works
1.3 Purpose and Contributions
1.4 Organization of this Thesis

Chapter 2 Affine Takagi-Sugeno Fuzzy Model
2.1 Introduction

2.2 Continuous Affine Takagi-Sugeno Fuzzy Model
2.3 Discrete Affine Takagi-Sugeno Fuzzy Model
2.4 Summary

Chapter 3 Perturbed Time-Delay Affine Takagi-Sugeno Fuzzy Model of TCP/AQM Routers
3.1 Introduction

3.2 The Descriptions of Nonlinear TCP Dynamic Systems with AQM Routers

3.3 Construction of the Affine Takagi-Sugeno Fuzzy Model for the

TCP Dynamic Systems

3.4 Summary

Chapter 4 Fuzzy Controller Design for TCP/AQM Routers Based on Takagi-Sugeno Fuzzy Models
4.1 Introduction

4.2 Stability Conditions Derivation for Robust Fuzzy Controller Based on Takagi-Sugeno Fuzzy Models

4.3 The Designing Process of the Robust Fuzzy Controller for TCP/AQM Routers

4.4 Summary

Chapter 5 Numerical Simulations and Discussions
5.1 Introduction
5.2 Robust Fuzzy Control Application to TCP Dynamic Systems

5.3 Simulations and Discussions

5.4 Summary
Chapter 6 Conclusions and Future Works
6.1 Conclusions

6.2 Future Works

REFERENCES
PUBLICATIONS
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