针对一类状态不可测的非线性随机时滞系统,提出了一种模糊自适应输出反馈控制策略。首先设计了非线性观测器使其对系统的状态进行估计,设计模糊状态观测器估计不可测状态。利用所设计的观测器,动态面控制技术以及自适应backstepping控制方法,设计了一种自适应输出反馈控制器。并且证明了闭环随机系统在概率意义下半全局一致最终有界稳定。此外,选择合适的参数还能使观测误差和系统输出任意的小。仿真实例验证了提出方案的有效性。
An adaptive fuzzy output feedback control approach was proposed for a class of time-delay stochastic nonlinear strict-feedback systems without the measurements of the states.Firstly,the nonlinear observer was designed to estimate the system states and then the fuzzy state observer was designed for estimating the unmeasured states.Utilizing the designed fuzzy state observer and dynamic surface control(DSC) technique by combining the adaptive backstepping control design,an adaptive fuzzy output feedback controller was developed.It is proved that the proposed control approach can guarantee that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded(SUUB) in probability,and the observer errors and the output of the system are converged to a small neighborhood of the origin by appropriate choice of the design parameters.A simulation example is provided to show the effectiveness of the proposed approach.