Title :
Sliding mode controller for the binary ABR flow control
Author :
Yan-e Mao ; Pan, Zhuojin ; Wang, Yan ; Jing, Yuanweri ; Zhang, Siying
Author_Institution :
Shenyang Inst. of Aeronaut. Eng., Shenyang
Abstract :
A moving sliding surface based on RBF neural network is presented for the binary ABR flow control. Unlike the conventional sliding mode control, the moving sliding surface moves to the desired sliding surface from the initial condition and thus fast tracking can be obtained. In addition, the equivalent control law is presented to control over the oscillation of the queue length in the binary ABR flow control. The simulation results show that not only the sliding mode controller can restrain the oscillation of the queue length in the binary ABR flow control, but also the system has strong robustness.
Keywords :
asynchronous transfer mode; neurocontrollers; queueing theory; radial basis function networks; robust control; telecommunication control; telecommunication traffic; variable structure systems; RBF neural network; asynchronous transfer mode; available bit rate; binary ABR flow control; moving sliding surface; queue length; sliding mode controller; Control systems; Equations; Sliding mode control; ABR flow control; ATM network; RBF neural network; sliding mode control; sliding surface;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597332
