Sliding mode based AQM for robust control of IP based network

A novel Sliding Mode Control (SMC) based Active Queue Management (AQM) algorithm is proposed for control of TCP/IP based network. Modern switching networks are complex time delay process with abrupt time varying behavior of its parameters such as bandwidth, time delay etc., which makes it hard to capture the exact process dynamics for an efficient controller design. Our approach invokes the potential of SMC in terms of robustness and disturbance rejection to design effective controller for nonlinear TCP-queue dynamics. Sliding Mode design is based on Lyapunov matrix and search for Lyapunov matrix for systems with unmatched uncertainties and time delay is formulated in terms of Linear Matrix Inequlity. Proposed scheme exhibits robust performance in presence of large parameter uncertainties and disturbances.

[1]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[2]  Bijnan Bandyopadhyay,et al.  Design of roll autopilot for a tail controlled missile using sliding mode technique , 2010, 2010 11th International Workshop on Variable Structure Systems (VSS).

[3]  Saverio Mascolo,et al.  Smith's principle for congestion control in high-speed data networks , 2000, IEEE Trans. Autom. Control..

[4]  QUTdN QeO,et al.  Random early detection gateways for congestion avoidance , 1993, TNET.

[5]  Vishal Misra,et al.  Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED , 2000, SIGCOMM 2000.

[6]  Christopher Edwards,et al.  Sliding mode control : theory and applications , 1998 .

[7]  Donald F. Towsley,et al.  Unresponsive flows and AQM performance , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[8]  Vishal Misra,et al.  Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED , 2000, SIGCOMM.

[9]  Kyung-Soo Kim,et al.  Sliding Mode Design via Quadratic Performance Optimization with Pole-Clustering Constraint , 2004, SIAM J. Control. Optim..

[10]  V. Utkin.  Variable structure systems with sliding modes , 1977 .

[11]  Youngjin Park,et al.  Using Lyapunov matrices for sliding mode design , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[12]  Donald F. Towsley,et al.  A control theoretic analysis of RED , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[13]  David W Ginsberg,et al.  Variable structure control systems , 1989 .

[14]  Man Ho Kim,et al.  Design of FlexRay-CAN gateway using node mapping method for in-vehicle networking systems , 2011, 2011 11th International Conference on Control, Automation and Systems.

[15]  Kyung-Soo Kim,et al.  Designing robust sliding hyperplanes for parametric uncertain systems: a Riccati approach , 2000, Autom..

[16]  Long Le,et al.  The Effects of Active Queue Management and Explicit Congestion Notification on Web Performance , 2007, IEEE/ACM Transactions on Networking.

[17]  P. Khargonekar,et al.  Robust stabilization of linear systems with norm-bounded time-varying uncertainty , 1988 .

[18]  Donald F. Towsley,et al.  On designing improved controllers for AQM routers supporting TCP flows , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[19]  Weibing Gao,et al.  Variable structure control of nonlinear systems: a new approach , 1993, IEEE Trans. Ind. Electron..

[20]  Martin May,et al.  Analytic evaluation of RED performance , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).