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中文摘要：
本文对于一类含不确定输入时滞和干扰的非线性系统的跟踪控制问题提出了一种自适应动态面控制方案.利用动态面控制方法避免了传统的后推设计中存在的复杂度爆炸问题.分别构造了一个滤波器和一个虚拟观测器来产生辅助信号.采用神经网络来逼近未知的连续函数.跟踪误差被证明最终收敛到一个足够小的紧集.给出了一个数字仿真示例验证了理论结果.
英文摘要：
Adaptive dynamic surface control is developed for the tracking control problem of a class of nonlinear systems with uncertain input delay and disturbances. The explosion of complexity in traditional backstepping design is avoided by utilizing dynamic surface control. A filter and a virtual observer are constructed respectively to produce the auxiliary signal. Neural networks are employed to approximate the unknown continuous functions. It is proved that the tracking error ultimately converges to an adequately small compact set. The theoretical result is illustrated through a simulation example.
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