中文摘要：

在这份报纸，为不明确的非线性的系统的一个班追踪的输出的问题被考虑。首先，神经网络被采用应付不明确的非线性的函数，基于状态，评价被构造。然后，一个输出反馈控制系统被使用动态表面控制(DSC ) 设计。保证追踪性能的 L 无穷，一种初始化技术被介绍。计划的主要特征是在 backstepping 控制的复杂性问题的爆炸被避免，并且没有需要包括控制获得以及神经网络重量更新未知参数，有一个更改参数的适应法律在第一设计步仅仅是必要的。靠近环的系统的所有信号最终一致地 semiglobally 被围住，追踪错误的系统的 L 无穷性能能被保证，这被证明。模拟结果表明建议计划的有效性。

英文摘要：

In this paper, the problem of output tracking for a class of uncertain nonlinear systems is considered. First, neural networks are employed to cope with uncertain nonlinear functions, based on which state estimation is constructed. Then, an output feedback control system is designed by using dynamic surface control （DSC）. To guarantee the L-infinity tracking performance, an initialization technique is presented. The main feature of the scheme is that explosion of complex- ity problem in backstepping control is avoided, and there is no need to update the unknown parameters including control gains as well as neural networks weights, the adaptive law with one update parameter is necessary only at the first design step. It is proved that all signals of the closed-loop system are semiglobally uniformly ultimately bounded and the L-infinity performance of system tracking error can be guaranteed. Simulation results demonstrate the effectiveness of the proposed scheme.