一类非线性系统的自适应模糊观测器设计

Adaptive Fuzzy Observer Design for a Class of Nonlinear System

针对一类不确定非线性系统提出了自适应模糊观测器设计方法.该观测器采用模糊系统逼近非线性函数,它不要求被观测对象结构和参数已知的条件,并对估计误差、模糊逼近误差和外扰的存在采用了鲁棒监督项以保证良好的观测性能,该观测器是对非线性广义Luenberger自适应观测器的一种扩展.该方法的有效性得到理论证明和仿真实验的验证.

We propose a method of adaptive fuzzy observer design for a class of uncertain nonlinear systems. The observer uses fuzzy system to approximate nonlihear functions so that the structure and parameters of the observed object are not needed in the design. The estimation error, approximation error and external disturbance are supervised by a robust term to provide favorable observation performance. This observer is an extension for the nonlinear Luenberger adaptive observer. Effectiveness of the method is proven theoretically and verified in simulation.