中文摘要：

研究一类随机非线性大系统的分散自适应跟踪问题，该类型随机非线性大系统具有标准Wiener噪声扰动，并且可以参数化为严格反馈系统形式．首先通过坐标变换将其转换为参数化的严格反馈随机非线性大系统形式，选取四阶随机控制Lyapunov函数以避免在递推过程中发散；然后利用反步法构造性设计出系统状态反馈分散控制律及参数自适应律，在此分散控制器的作用下，每个局部输出都能够跟踪预先设定的参考信号，同时保证所有闭环信号有界，从而解决了原系统的自适应跟踪问题．

英文摘要：

Decentralized adaptive tracking problem is studied for a class of stochastic nonlinear largescale systems, which have standard Wiener noises and can be parameterized in strict-feedback form. The systems are transformed into parameterized strict-feedback nonlinear large-scale form through coordinate transformation. By employing the stochastic Lyapunov-like theorem and the backstepping design technique, the adaptive state feedback decentralized controller and parameters adaptive law are developed. The output of the closed-loop system is proved to follow the desired trajectory asymptotically in probability, and thus the adaptive tracking problem of the original systems is solved.