Neural networks stabilization and disturbance attenuation for nonlinear switched impulsive systems
Neural networks stabilization and disturbance attenuation for nonlinear switched impulsive systems
复制标题
DOI：
10.1016/j.neucom.2007.11.015
复制
发表时间：
2008-03
期刊：
影响因子：
6
通讯作者：
F. Long;S. Fei
中科院分区：
文献类型：
--
作者：
F. Long;S. Fei
研究了一类非线性脉冲切换系统的神经网络镇定与干扰抑制问题。在基于神经网络的所有容许切换策略下，给出了非线性脉冲切换系统的自适应神经网络反馈控制方案和抑制输出跟踪误差干扰的脉冲控制器。将神经网络用于补偿切换脉冲系统的非线性不确定性，并将神经网络的逼近误差引入到自适应律中，以改善切换脉冲系统的跟踪衰减性能。设计了脉冲控制器来抑制开关脉冲的影响。在所有允许的切换律下，脉冲控制器和自适应神经网络反馈控制器能够保证整个非线性脉冲切换系统跟踪误差的渐近稳定性，提高跟踪误差的干扰衰减水平。最后，数值例子证明了所提出的控制和镇定方法的有效性。
In this paper, we address the problem of neural networks (NNs) stabilization and disturbance rejection for a class of nonlinear switched impulsive systems. An adaptive NN feedback control scheme and an impulsive controller for output tracking error disturbance attenuation of nonlinear switched impulsive systems are given under all admissible switched strategy based on NN. The NN is used to compensate for the nonlinear uncertainties of switched impulsive systems, and the approximation error of NN is introduced to the adaptive law in order to improve the tracking attenuation quality of the switched impulsive systems. Impulsive controller is designed to attenuate effect of switching impulse. Under all admissible switching law, impulsive controller and adaptive NN feedback controller can guarantee asymptotic stability of tracking error and improve disturbance attenuation level of tracking error for the overall nonlinear switched impulsive system. Finally, a numerical example is given to demonstrate the effectiveness of the proposed control and stabilization methods.