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针对一类非线性系统，提出一种基于再励学习的自组织模糊ＣＰＮ的稳定控制系统。控制结构中采用滑模控制使状态到达设计的切换面，保证系统稳定；用基于再励学习的自组织模糊ＣＰＮ 作为补偿控制器减弱系统不确定部分的影响。仿真实例表明了所给算法的有效性。
For a class of nonlinear systems, a self-organizing fuzzy CPN stability control system based on re-energization learning is proposed. In the control structure, sliding mode control is used to make the state reach the switching surface of the design to ensure the stability of the system. The self-organizing fuzzy CPN based on re-excitation learning is used as the compensation controller to reduce the influence of the uncertain part of the system. The simulation example shows the effectiveness of the proposed algorithm.