基于区间二型模糊逻辑系统的非线性大系统模糊自适应输出反馈分散控制

Adaptive Output-feedback Decentralized Control of Nonlinear Large-scale Systems Based on Type-2 Fuzzy Logic Systems

针对一类状态不可测的非线性大系统,首先设计一种误差观测器,然后设计一种自适应输出反馈模糊控制器。在设计中,应用二型模糊逻辑系统逼近系统中的未知函数,结合模糊自适应和非线性分散控制设计理论,给出了一种新的二型模糊自适应分散控制方法,基于李亚普诺夫函数方法证明了整个闭环系统的稳定性,而且取得很好的控制跟踪性能。仿真实例进一步验证了所提方法的有效性。

Against a class of nonlinear large-scale systems with the unmeasured states, the error observer was firstly designed, then a fuzzy adaptive decentralized control was designed. Interval type-2 fuzzy logic systems were employed to approximate the unknown nonlinear function, in combining the theory on a fuzzy adaptive and nomlinear decentralized control to be designed, a new type-2 fuzzy adaptive decentralized control method was proposed. Lyapunov function in use proved that the proposed fuzzy adaptive decentralized control scheme guaranteed the global stability of the closed-loop system and good tracking performance was achieved. Simulation results show the effectiveness of the proposed method.