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Output feedback stabilization based on dynamic surface control for a class of uncertain stochastic nonlinear systems

机译:基于动态表面控制的一类不确定随机非线性系统的输出反馈镇定

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摘要

In this paper, the dynamic surface control (DSC) algorithm is proposed for a class of stochastic nonlinear systems with nonminimum phase and the standard output-feedback form. The proposed algorithm is a stochastic vision by combining the traditional back-stepping together with the DSC technique, which can overcome the problem of 'explosion of complexity' in the back-stepping designing procedure for the stochastic nonlinear systems. Thus, it can reduce the computation complexity and is easy to be used in the actual implementation. It is shown that all the signals of the resulting closed-loop system are uniformly ultimately bounded.
机译:针对一类具有最小相位和标准输出反馈形式的随机非线性系统,提出了一种动态表面控制算法。所提出的算法是将传统的反向步法与DSC技术相结合的一种随机视觉方法,可以解决随机非线性系统的反向步法设计过程中的“复杂性爆炸”问题。因此,它可以减少计算复杂度,并且易于在实际实现中使用。结果表明,所产生的闭环系统的所有信号最终均一地受到限制。

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