【摘要】 模糊系统辨识是模糊系统建模的主要手段,优化的模糊系统结构是模糊系统辨识的关键.简要回顾了模糊系统结构辨识的研究现状与发展.讨论了模糊系统结构辨识一些常用的方法,如基于模糊聚类、自组织神经模糊网络、支持向量机、核函数、分层模糊系统、遗传算法和小波多分辨率分析等的模糊系统结构辨识.对各种结构辨识方法的特点进行了深入的分析,并对结构辨识未来的发展进行了展望.更多还原

【Abstract】 Fuzzy system identification is one of the main approaches of fuzzy system modeling.Optimized fuzzy system structure is the key of fuzzy system identification.The state of art of fuzzy system structure identification was briefly reviewed.Widely used methods of fuzzy system structure identification were discussed,including those based on fuzzy clustering,self-organizing neural-fuzzy network,support vector machine,kernel function,hierarchical fuzzy system,genetic algorithm and multi-resolution analysis.The characteristics of the methods were analyzed in detail.Future research directions of fuzzy system structure identification were outlined.更多还原