时滞关联大系统的自适应模糊动态面控制及仿真

Adaptive Fuzzy Dynamic Surface Control and Simulation for Interconnected Time-delay Large-scale Systems

针对一类含完全未知时变时滞的非线性关联大系统,提出了一种自适应模糊动态面控制方法。该方法采用模糊逻辑系统逼近系统的未知时滞函数,提出时滞代换方法处理逼近器输入中的未知时滞信号,取消了对未知时滞常作的假设。基于Lyapunov-Krasovskii泛函,证明了闭环系统所有信号半全局一致最终有界。仿真结果进一步说明了该方法的有效性。

An adaptive fuzzy dynamic surface control approach was proposed for a class of nonlinear large-scale systems with completely unknown time-varying delays.The unknown delay functions of the system were approximated by fuzzy logic systems,and delay replacement technique was proposed to deal with the unknown delay signals,so that the common assumptions on the delay signals was removed.Based on Lyapunov-Krasovskii functional,all the signals of the closed-loop system are proven to be semi-globally uniformly ultimately bounded.Simulation results are further illustrated the effectiveness of the proposed control approach.