论文部分内容阅读
提出一种基于模糊空间非标准划分的模糊神经控制方法。该方法克服了基于模糊空间标准划分 (网格状划分 )的模糊子空间急剧增加 (指数增长 )的弊病 ,减少了计算负担。并通过对倒立摆控制的仿真研究说明了所提方法的有效性。
A fuzzy neural control method based on non-standard partition of fuzzy space is proposed. This method overcomes the shortcomings of the sharp increase (exponential growth) of fuzzy subspaces based on fuzzy spatial standard partition (grid partition), and reduces the computational burden. The effectiveness of the proposed method is demonstrated through the simulation of inverted pendulum.