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Exponential stabilisation of continuous-time periodic stochastic systems by feedback control based on periodic discrete-time observations

机译:基于周期性离散时间观测的反馈控制通过反馈控制递减连续时间周期随机系统的指数稳定

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Since Mao in 2013 discretised the system observations for stabilisation problem of hybrid SDEs (stochastic differential equations with Markovian switching) by feedback control, the study of this topic using a constant observation frequency has been further developed. However, time-varying observation frequencies have not been considered. Particularly, an observational more efficient way is to consider the time-varying property of the system and observe a periodic SDE system at the periodic time-varying frequencies. This study investigates how to stabilise a periodic hybrid SDE by a periodic feedback control, based on periodic discrete-time observations. This study provides sufficient conditions under which the controlled system can achieve pth moment exponential stability for $p gt 1$p>1 and almost sure exponential stability. Lyapunov's method and inequalities are main tools for derivation and analysis. The existence of observation interval sequences is verified and one way of its calculation is provided. Finally, an example is given for illustration. Their new techniques not only reduce observational cost by reducing observation frequency dramatically but also offer flexibility on system observation settings. This study allows readers to set observation frequencies according to their needs to some extent.
机译:自2013年毛泽东自离散地区的系统观察以通过反馈控制对混合SDES的稳定问题(随机微分方程的稳定问题进行反馈控制,进一步开发了使用恒定观察频率的本主题的研究。然而,尚未考虑时变观察频率。特别地,观察性更有效的方式是考虑系统的时变特性,并在周期性时变频率下观察周期性的SDE系统。本研究研究了如何根据周期性离散时间观察来稳定周期性反馈控制的周期性混合SDE。本研究提供了足够的条件,控制系统可以实现$ P GT 1 $ P> 1的PTH矩指数稳定性,并且几乎肯定指数稳定性。 Lyapunov的方法和不等式是导流和分析的主要工具。验证了观察区间序列的存在,并提供了其计算的一种方法。最后,给出了一个例子。它们的新技术不仅通过显着降低观察频率而且还提供了对系统观察设置的灵活性来降低观察成本。本研究允许读者根据其需求在某种程度上设置观察频率。

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