一种新的自适应非单点模糊辨识器

A New Adaptive Non-singleton Fuzzy Identifier

鉴于常规单点模糊逻辑系统在解决不确定性问题中存在的不足,该文在分析非单点模糊逻辑理论的基础之上,提出了一种新的自适应非单点模糊辨识器,并且详细论述了其相关理论、具体实现步骤和参数优化方法。针对一种糖酵解混沌振荡器模型的非线性动态系统辨识问题,采用非单点模糊逻辑系统对其进行了仿真研究,取得了较好的逼进和收敛效果,从而验证了该非单点模糊辨识器的可行性和有效性。该研究结果表明了基于非单点模糊逻辑系统构造的自适应辨识器能够在一定精度和时间区域内跟踪非线性动态系统的输出,并且非单点模糊理论将能够在控制等其它应用领域取得较好的应用效果。

In view of the deficiencies of the general fuzzy logic system in solving the uncertain problems, a new method is put forward to analyze and design the adaptive non - singleton fuzzy identifier based on the theory of non - singleton fuzzy logic system. Its realization and parameter optimization are discussed in detail. Aiming at a nonlinear dynamic system, the mentioned method is adopted to construct an adaptive non - singleton fuzzy identifier, and its feasibility and validity are testified successfully, The research results show that the proposed non - singleton fuzzy identifier can track the output of nonlinear dynamic system steadily, and demonstrates its strong adaptability. Thus, the non - singleton fuzzy logic theory can be preferably applied to control fields and other practical engineering.