For unknown nonlinear systems, by using error filtering method, a design method of adaptive fuzzy regulator is proposed. Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term. when the modeling error satisfying linear grouth condition, the algorithm is proven to be globally stable, with the tracking error converging to a neighborhood of zero by using the lyapunov stability theory.
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For unknown nonlinear systems, by using error filtering method, a design method of adaptive fuzzy regulator is proposed.
对于未知的非线性系统，利用误差滤波方法，提出了一种自适应模糊调节器的设计方法。
A fuzzy adaptive tracking control scheme for a class of unknown multivariable nonlinear systems is presented.
对一类非线性多变量未知动态系统，提出了一种模糊自适应控制策略。
A set membership filtering algorithm using ellipsoidal sets for nonlinear systems with unknown but bounded noises is proposed and applied to guaranteed fault detection and isolation(FDI).
针对带有未知但有界噪声的非线性系统，提出一种椭球集员滤波算法，并将其应用于保证故障检测与隔离。
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