Fuzzy control of active queue management routers for transmission control protocol networks via time-delay affine takagi-sugeno fuzzy models

International Journal of Innovative Computing, Information and Control

Volumn 4, Issue 2, 2008, Pages 291-312

  Chu, Hsiuyuan ^a   Tsai, Kuohui ^b   Chang, Wenjer ^b  

^a INSTITUTE FOR INFORMATION INDUSTRY   (Taiwan)

^b NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

Author keywords

AQM routers; Iterative linear matrix inequality; TCP networks; Time delay affine Takagi sugeno fuzzy models

Indexed keywords

EID: 61749094001     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. 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.
2. 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.
3. S. Boyd, L. E. Ghaoui, E. Feron and V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, SIAM, Philadelphia, PA, 1994.
4. W. J. Chang, Fuzzy controller design via the inverse solution of Lyapunov equations, ASME, J. Dynamic Systems, Measurement and Control, vol.125, no.l, pp.42-47, 2003.
5. 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.
6. W. J. Chang, C. C. Ku, W. Chang and P. W. Huang, Passive fuzzy control with relaxed conditions for discrete affine T-S fuzzy systems, International Journal of Innovative Computing, Information and Control, accepted for publication, 2007.
7. G. Chatranon, M. A. Labrador and S. Banerjee, A credit-based active queue management (AQM) mechanism to achieve fairness in the Internet, Lecture Notes in Computer Science 3462, pp.930-942, 2005.
8. Q. Chen and O. W. W. Yang, AQM controller design for IP routers supporting TCP flows based on pole placement, IEE Proceeding, Communications, vol.151, no.4, pp.347-354, 2004.
9. C. M. Close and D. K. Frederick, Modeling and Analysis of Dynamic Systems, Second Edition, Houghton Mifflin Company, Boston, 1993.
10. G. Feng, A survey on analysis and design of model-based fuzzy control systems, IEEE Trans. Fuzzy Systems, vol.14, no.5, pp.676-697, 2006.
11. W. C. Feng, K. G. Shin, D. D. Kandlur and D. Saha, The BLUE active queue management algorithm, IEEE/ACM Trans. Networking, vol.10, no.4, pp.513-528, 2002.
12. S. Floyd, V. Jacobson, Random early detection gateways for congestion avoidance, IEEE/ACM Trans, on Networking, vol.l, no.4, pp.397-413, 1993.
13. J. Hale, Theory of Functional Differential Equations, Springer, New York, 1977.
14. C. V. Hollot, V. Misra, D. Towsley and W. B. Gong, On designing improved controllers for AQM routers supporting TCP flows, Proc. of IEEE INFOCOM, pp.1726-1734, 2001.
15. C. V. Hollot, V. Misra, D. Towsley and W. Gong, Analysis and design of controllers for AQM routers supporting TCP flows, IEEE Trans. Automatic Control, vol.47, no.6, pp.945-959, 2002.
16. V. Jacobson, Congestion avoidance and control, Proc. of the ACM/SIGCOMM, pp.314-329, 1988.
17. E. Kim and S. Kim, Stability analysis and synthesis for an affine fuzzy control system via LMI and ILMI: A continuous case, IEEE Trans. Fuzzy Systems, vol.10, no.3, pp.391-400, 2002.
18. K. Kiriakidis, Robust stabilization of the Takagi-Sugeno fuzzy model via bilinear matrix inequalities, IEEE Trans. Fuzzy Systems, vol.9, no.2, pp.269-277, 2001.
19. S. S. Kunniyur and R. Srikant, An adaptive virtual queue (AVQ) algorithm for active queue management, IEEE/ACM Trans. Networking, vol.12, no.2, pp.286-299, 2004.
20. H. Lim, K. J. Park, E. C. Park and C. H. Choi, Active queue management algorithm with a rate regulator, Proc. of the lost IFAC World Congress on Automatic Control, vol.T-We-M02, Barcelona, Spain, 2002.
21. 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 the 2000 ACM SIGCOMM, Stockholm, Sweden, pp.151-160, 2000.
22. T. J. Ott, T. V. Lakshman and L. Wong, SRED: stabilized RED, Proc. of the IEEE Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies, New York, USA, vol.3, pp.1346-1355, 1999.
23. 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.l, pp.17-41, 2004.
24. Y. Shimizu, M. Miyazaki, H. H. Lee and K. Akizuki, Chaos synchronization based on fuzzy model using sliding mode control, International Journal of Innovative Computing, Information and Control, vol.1, no.3, pp.563-579, 2005.
25. ∞ fuzzy tracking control for multi-machine interconnected power system with model uncertainties, International Journal of Innovative Computing, Information and Control, vol.2, no.l, pp.61-68, 2006.
26. T. Takagi and M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst, Man, Cybern., vol.SMC-15, no.l, pp.116-132, 1985.
27. L. Tan, W. Zhang, G. Peng and G. Chen, Stability of TCP/RED systems in AQM routers, IEEE Trans. Automatic Control, vol.51, no.8, pp.1393-1398, 2006.
28. K. Tanaka and H. O. Wang, Fuzzy Control System Design and Analysis - A Linear Matrix Inequality Approach, John Wiley & Son Inc., 2001.
29. S. Tong, W. Wang and L. Qu, Decentralized robust control for uncertain T-S fuzzy large-scale systems with time-delay, Int. J. Innovative Computing, Information and Control, vol.3, no.3, pp.657-672, 2007.