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Global Adaptive Control of Stochastic Nonlinear Systems with Linearly Bounded Unmeasurable States by Output Feedback

机译:具有输出反馈的线性有界不可测状态的随机非线性系统的全局自适应控制。

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摘要

The problem of the output feedback stochastic stabilization is investigated for a class of stochastic nonlinear systems with linearly bounded unmeasurable states. Under the condition that the inverse dynamics is stochastic input-to-state stable and the nonlinear functions satisfy the linear growth conditions with unknown growth rate, an adaptive output feedback controller is proposed to make the closed-loop system globally stable in probability and the states of the closed-loop system converge to zero almost surely. A simulation example is provided to show the effectiveness of the theoretical results.
机译:研究了一类具有线性有界不可测状态的随机非线性系统的输出反馈随机镇定问题。在逆动力学为随机输入到状态稳定且非线性函数满足线性增长条件且增长率未知的情况下,提出了一种自适应输出反馈控制器来使闭环系统在概率和状态下全局稳定闭环系统的绝对收敛几乎为零。提供了一个仿真例子来说明理论结果的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第5期|p.11.1-11.15|共15页
  • 作者

    Qiangde Wang; Chunling Wei;

  • 作者单位

    Institute of Automation, Qufu Normal University, Rizhao 276826, China;

    Institute of Automation, Qufu Normal University, Rizhao 276826, China;

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  • 正文语种 eng
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