基于模糊逻辑系统的输出跟踪控制问题

针对一类未知的非线性互联大系统，设计间接自适应模糊控制器以实现跟踪控制，采用模糊控制，模糊逻辑逼近和模糊滑模控制相结合的方法，对维数较低的子系统未知动态和维数较高的互联项未知动态分别采用两类模糊规则进行逼近，对系统的外部干扰及模糊逼近误差采用模糊滑模控制予以抵消，基于Lyapunov方法实现模糊系统中的参数自适应律并在线调节，所设计的间接自适应控制器使系统在Lyapunov意义下稳定，且跟踪误差趋近于0，仿真结果表明了该设计方法的正确性。

Output tracking control problem based on fuzzy logic system

Fuzzy indirect adaptive tracking controller is designed to realize the tracking control for a class of uncertain nonlinear interconnected large-scale systems. Fuzzy control and fuzzy logic approach with1fuzzyslidemodecontrolarecombinedtodeal with the problem. For the lower dimensional uncertain dynamic of the subsystems and the higher-dimensional one of the interconnected terms, two classes of fuzzy rules are adopted respectively to approach the uncertainties. The fuzzy sliding mode control is introduced to counteract the exterior disturbance and the fuzzy approaching errors. Based on Lyapunovmethod,theparametersofthesystemsare regulated on line by the adaptive laws. The designed indirect adaptive controller makes the system stable in the Lyapunov sense, and makes the tracking error convergence to zero as well. The simulation illustrates the validation of the design scheme.