针对一类参数不确定且含有未知关联项的随机非线性关联系统, 提出了一种自适应输出反馈控制方案. 该方案利用$K$滤波器估计不可量测的系统状态, 将动态面技术与输出反馈控制相结合, 避免了传统后推设计过程中对虚拟控制律反复求导出现的``复杂性膨胀''问题, 设计的自适应动态面控制器可以确保闭环系统中的所有信号在概率意义下半全局一致终结有界, 且跟踪误差收敛到一个小的残差集内.

An adaptive output-feedback control scheme is presented for a class of stochastic nonlinear interconnected systems with both parametric uncertainties and unknown nonlinear interactions. By combining dynamic surface control technique with output-feedback control, the explosion of complexity in traditional backstepping design is avoided, which extends the routine method of dynamic surface-control. By applying K-filter to reconstruct the state of system, the designed local adaptive controller can ensure all the signals in the closed-loop control system are shown to be semi- globally uniformly ultimately bounded in probability, and the tracking error converges to a small residual set.