DocumentCode
1884459
Title
Adaptive Robust Control for a Class of Nonlinear TCP Dynamic Network Systems
Author
Sun Ping ; Zong Liang ; Wang Ting
Author_Institution
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
fYear
2013
fDate
16-17 Jan. 2013
Firstpage
152
Lastpage
155
Abstract
This paper presents an adaptive robust control scheme for a class of nonlinear TCP dynamic network systems. By introducing the interference, time-delay and uncertain parameters to improve the nonlinear model, the objective of the work described here was to attenuate any various interference, time-delay and uncertain parameters factors in the actual network running environment. Using proper coordinate transformation, evaluation signal, energy storage function and adjusting appropriate weights, the systems satisfy the nonlinear L2 gain performance index. The robust controller achieves the desired queue size and guarantee asymptotic stability. This way ameliorates the instability phenomena, when the parameters of system were changed and subjected to the external interference. Finally, the simulation results confirm the feasibility and effectiveness of the designed scheme.
Keywords
adaptive control; asymptotic stability; delays; nonlinear dynamical systems; performance index; robust control; uncertain systems; L2 gain performance index; adaptive robust control scheme; adjusting appropriate weights; asymptotic stability; coordinate transformation; energy storage function; evaluation signal; interference factors; network running environment; nonlinear TCP dynamic network systems; queue size; time-delay; uncertain parameters factors; Adaptation models; Adaptive systems; Interference; Robust control; Robustness; Trajectory; Uncertainty; adaptive robust control; nonlinear TCP dynamic network systems; nonlinear gain performance index; storage function;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-5652-7
Type
conf
DOI
10.1109/ICMTMA.2013.47
Filename
6493692
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