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中文摘要：
在这篇论文，为不明确的非线性的系统的一个类的柔韧的适应模糊动态表面控制被建议。一个新奇适应模糊动态表面模型被造接近由一个仅仅模糊逻辑系统的不明确的非线性的功能。这个模型的近似能力被证明，模型被实现解决太多近似者在不明确的非线性的系统的控制器设计被使用的问题。“在走设计过程的背的复杂性的爆炸”的缺乏被使用建议动态表面控制方法克服。它被构造靠近环的系统的所有信号是的适当 Lyapunov 候选人证明半全球性一致地最终跳。另外，这个新奇控制器比适应滑动模式控制器(SMC ) 快稳定不明确的非线性的系统的状态。二个模拟例子被提供说明在这篇论文建议的控制途径的有效性。
英文摘要：
In this paper, a robust adaptive fuzzy dynamic surface control for a class of uncertain nonlinear systems is proposed. A novel adaptive fuzzy dynamic surface model is built to approximate the uncertain nonlinear functions by only one fuzzy logic system. The approximation capability of this model is proved and the model is implemented to solve the problem that too many approximators are used in the controller design of uncertain nonlinear systems. The shortage of ＂explosion of complexity＂ in backstepping design procedure is overcome by using the proposed dynamic surface control method. It is proved by constructing appropriate Lyapunov candidates that all signals of closed-loop systems are semi-globally uniformly ultimate bounded. Also, this novel controller stabilizes the states of uncertain nonlinear systems faster than the adaptive sliding mode controller （SMC）. Two simulation examples are provided to illustrate the effectiveness of the control approach proposed in this paper.
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