The issue of adaptive output-feedback stabilization is investigated for a category of stochastic nonstrict-feedback nonlinear systems subject to unmeasured state and unknown control directions. By combining the event-triggered mechanism and backstepping technology, an adaptive fuzzy output-feedback controller is devised. In order to make the controller design feasible, a linear state transformation is introduced into the initial system. At the same time, the Nussbaum function technology is used to overcome the difficulties caused by unknown control directions, and the state observer solves the problem of the unmeasured state. Based on the fuzzy-logic system and its structural characteristics, the issue of unknown nonlinear function with nonstrict-feedback structure in the system is tackled. The designed controller could not only guarantee all signals of closed-loop systems are bounded in probability but also save communication resources effectively. Finally, numerical simulation and ship dynamics example are given to confirm the effectiveness of the proposed method.

中文翻译：

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控制方向未知的不可测随机非线性系统的基于观察者的事件触发自适应模糊控制


研究了一类受未测量状态和未知控制方向影响的随机非严格反馈非线性系统的自适应输出反馈稳定问题。结合事件触发机制和反步技术，设计了一种自适应模糊输出反馈控制器。为了使控制器设计可行，在初始系统中引入线性状态变换。同时利用努斯鲍姆函数技术克服了控制方向未知带来的困难，状态观测器解决了状态不可测的问题。基于模糊逻辑系统及其结构特点，解决了系统中非严格反馈结构的未知非线性函数问题。所设计的控制器不仅能保证闭环系统所有信号的概率有界，而且能有效节省通信资源。最后通过数值模拟和船舶动力学算例验证了该方法的有效性。