Abstract: A fuzzy identification scheme is presented for a class of nonlinear discrete-time systems，in this scheme，the fuzzy logic system，which is linear in the unknown parameters，is used as identification model，and the unknown parameters in the fuzzy logic system are adjusted adaptively.It is proved that the proposed method can make the identification error converge to a neighborhood of the origin.Simulation results indicate the effectiveness of this method.

Key words: nonlinear discrete-time systems, fuzzy identification, adaptive law

摘要： 对一类非线性离散时间系统提出了模糊辨识方法，此方法用与未知参数向量成线性关系的模糊逻辑系统作为辨识模型，并通过自适应学习律对此模糊逻辑系统中的未知参数进行自适应调节，文中证明了此方法可使辨识误差收敛到原点的一个邻域内。仿真结果验证了此方法的有效性。

关键词: 非线性离散系统, 模糊辨识, 自适应律