基于RBF的TCP网络自适应滑模控制

针对TCP网络的拥塞控制问题,提出了一种基于RBF神经网络的自适应滑模控制算法.为了简化滑模控制器的设计,将系统的各个不确定参数和非线性补偿整合成一个总的不确定.考虑到网络系统的不确定性上界很难获得,使用RBF神经网络对系统不确定的上界进行自适应学习.将RBF神经网络的输出作为不确定上界的补偿,从而消除了系统的不确定带...

Adaptive Sliding Mode Control Using RBF for TCP Networks

For the problem of congestion control in TCP networks,an adaptive sliding mode control algorithm is presented based on the RBF neural network.To simplify the design of the sliding mode controller,the uncertain parameters of the systems and the nonlinear compensation of the systems are incorporated into a lumped uncertainty.Since the upper bound of the system uncertainties may not easily be obtained,a RBF neural network is used to learn the upper bound of system uncertainties.And the output of the RBF neural...