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標題: 強健網路控制系統之設計
Design of Robust Network Control Systems
作者: 洪明偉
Hong, Ming-Wei
關鍵字: Active queue management;網路控制系統;TCP;UDP;Pneumatic system;stability;傳輸通訊協定;使用者資料協定;氣壓缸系統;穩定性
出版社: 電機工程學系所
引用: [1] Deb, S. and Srikant, R., “Global stability of congestion controllers for the Internet,” IEEE Transactions on Automatic Control, vol. 48, pp. 1055-1060 (2003). [2] Tan, L., Pugh, A.C. and Yin, M., “Rate-based congestion control in ATM switching networks using a recursive digital filter,” Control Engineering Practice, vol. 11, pp. 1171-1181 (2003). [3] Kaplan, G., “Ethernet's winning ways,” IEEE Spectrum, vol. 38, pp. 113-115 (2001). [4] Walsh, G.C., Hong, Y. and Bushnell, L.G., “Stability analysis of networked control systems,” IEEE Transactions on Control Systems Technology, vol. 10, pp. 438-446 (2002). [5] Wang, Z., Yang, J., Tan, D. and Wang, X., “Compensation for the networked control systems with the long time delays,” In: Proceedings of IEEE Conference on Systems, Man and Cybernetics, Washington, DC, vol. 4, pp. 3170-3175 (2003). [6] Braden, B. et al., “Recommendations on queue management and congestion avoidance in the Internet,” IETF Request Comments, vol. 2309 (1998). [7] Floyd, S. and Jacobson, V., “Random early detection gateways for congestion avoidance,” IEEE/ACM Transactions on Networking, vol. 1, pp. 397-413 (1993). [8] Bonald, T., May, M. and Bolot, J.-C., “Analytic evaluation of RED performance,” Proceedings of IEEE Conference on INFOCOM, vol. 3, pp. 1415-1424 (2000). [9] Hollot, C.V., Misra, V., Towsley, D. and Gong, W., “Analysis and design of controllers for AQM routers supporting TCP flows,” IEEE Transactions on Automatic Control, vol. 47, pp. 945-959 (2002). [10] Al-Zubaidy, H. and Omari, T., “RED performance evaluation using stochastic modeling and fluid-based analysis,” Canadian Conference on Electrical and Computer Engineering, pp. 1413-1418 (2006). [11] Peng, Y., Yuan, G. and Ozbay, H., “A variable structure control approach to active queue management for TCP with ECN,” IEEE Transactions on Control Systems Technology, vol. 13, pp. 203-215 (2005). [12] Chen, Q. and Yang, O.W.W., “On designing self-tuning controllers for AQM routers supporting TCP flows based on pole placement,” IEEE Journal on Selected Areas in Communications, vol. 22, pp. 1965-1974 (2004). [13] Shao, L., Basar, T. and Srikant, R., “Exponential-RED: a stabilizing AQM scheme for low- and high-speed TCP protocols,” IEEE/ACM Transactions on Networking, vol. 13, pp. 1068-1081 (2005). [14] Quet, P.F. and Ozbay, H., “On the design of AQM supporting TCP flows using robust control theory,” IEEE Transactions on Automatic Control, vol. 49, no, 6, pp. 1031-1036 (2004). [15] Chiera, B.A. and White, L.B., “A subspace predictive controller for end-to-end TCP congestion control,” Proceedings of the 6th Australian Communications Theory Workshop, Brisbane, Australia, pp. 42-48 (2005). [16] Wu, H., “Decentralized adaptive robust control for a class of large-scale systems including delayed state perturbations in the interconnections,” IEEE Transactions on Automatic Control, vol. 47, no. 10, pp. 1745-1751 (2002). [17] Misra, V., Gong, W.B. and Towsley, D., “Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED.” In: Proceedings of ACM/SIGCOMM, Stockholm, Sweden, vol. 30, p. 151-160 (2000). [18] Noritsugu, T., “Development of PWM mode electro-pneumatic servomechanism. Part II: Position control of a pneumatic cylinder,” Journal of Fluid Control, vol. 17, pp. 7-31 (1986). [19] Laughlin, D.L., Rivera, D.E. and Morari, M., “Smith predictor design for robust performance,” International Journal of Control, vol. 46, pp. 477-504 (1987). [20] Huang, J.Q. and Lewis, F.L., “Neural-network predictive control for nonlinear dynamic systems with time-delay,” IEEE Transactions on Neural Networks, vol. 14, pp. 377-389 (2003). [21] Mascolo, S., “Smith's predictor for congestion control in TCP internet protocol,” In: Proceedings of American Control Conference, San Diego, California, pp. 4441-4445 (1996). [22] Wei, Z., Branicky, M.S. and Phillips, S.M., “Stability of networked control systems,” IEEE Control Systems Magazine, vol. 21, pp. 84-99 (2001). [23] Lin, C.L., Chen, C.H. and Liu, V.T., “A new time-delay compensating scheme for electro-hydraulic systems,” International Journal of Fluid Power, vol. 6, pp. 19-27 (2005). [24] Lin, C.T. and George Lee, C.S. Neural Fuzzy Systems, Prentice-Hall Inc, Upper Saddle River (1996). [25] Zurada, J.M. Introduction to Artificial Neural Systems, West Publishing Co., St. Paul (1992), pp. 210-211. [26] Vidyasagar, M. Control System Synthesis: A Factorization Approach, MIT Press, Cambridge (1985).

Active queue management (AQM) allows for the detection of network congestion and the queue control in router buffer. In this thesis, AQM controller is proposed to manage the queue size and to maintain the overall loop stability. The control design procedure and stability analysis are presented to verify feasibility of the communication network with mixed transmission control protocol (TCP) and user datagram protocol (UDP) traffic. In addition, the uncertainties of network are also considered to guarantee the system stability using the AQM controller proposed in this thesis. The effectiveness of the proposed controller is demonstrated by conducting numerical experiments along with simulation results. In addition, this paper extends AQM control design for single network systems to large-scale network systems with time delay at each communication channel. A system model consisted of several local networks is constructed, and stability conditions are derived using Lyapunov stability theory.
This thesis also concerns with control design for network pneumatic systems with uncertain communication delays. In the practical networked control systems (NCSs), there are usually unavoidable plant and communication delays. It has been known that time delays may not only deteriorate the system performance, but also destabilize the controlled plant. To alleviate the influence resulting from time delays while maintaining performance, a mixed fuzzy-PID/neural network compensating scheme is applied to the pneumatic system with communication delays. Real-world experiments verify effectiveness and superiority of our proposed approach.
其他識別: U0005-2407200814195300
Appears in Collections:電機工程學系所

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