Adaptive fuzzy control for a class of nonlinear uncertain systems
一类非线性不确定系统的模糊自适应控制

By employing fuzzy logic system with the property of approximating any continuous function with arbitrary, the adaptive laws and controllers are synthesized for a class of nonlinear systems with uncertainties, the bounded functions of which are unknown. The architecture of laws and controllers depends directly on the information from the construction of the nominal systems of systems controlled and the fuzzy logic system. Under some simple conditions, the laws and controllers make the states of systems controlled and parameter estimate errors uniformly ultimately bounded (UUB). Finally, the simulation shows the validity of the method in this paper.