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提出一种基于模糊 CMAC神经网络的多面滑模变结构控制算法 ,其特点是无须已知不确定性函数及其各阶导数的上界 ,与经典设计方法相比 ,所提出的方案允许非参数化不确定性。仿真实例显示了该方法的有效性
A control algorithm based on fuzzy CMAC neural network for multi-facets sliding mode variable structure is proposed, which is characterized by no need to know the upper bound of the uncertainty function and its derivatives. Compared with the classical design method, the proposed scheme allows non-parametric Uncertainty The simulation shows the effectiveness of this method