针对一类高频增益符号未知,仅有输出可测的非线性大系统提出了一种模糊自适应Backstepping分散控制方法。在backstepping递推设计中,采用模糊逻辑系统逼近未知非线性函数,利用Nussbaum增益方法解决未知高频增益符号未知问题。利用所提出的模糊自适应分散控制方法,可以使得闭环系统的信号是一致终结有界(UUB)。仿真实例进一步验证了所提方法的有效性。
A fuzzy adaptive decentralized control approach was proposed for a class of large-scale nonlinear systems with unknown high-frequency gain sign,unknown nonlinearities,and the output measurement.In the backstepping recursive design,fuzzy logic systems were employed to approximate the unknown nonlinear function,and Nussbaum gain technique was taken to have solved the unknown high-frequency gain sign.It is proved that the proposed fuzzy adaptive decentralized control scheme can guarantee that all the signals in the closed-loop system are uniformly ultimately bounded(UUB).Simulation results show the effectiveness of the proposed method.