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An integral sliding mode control approach to observer-based stabilization of stochastic Ito descriptor systems

机译:基于观测器的随机Ito描述子系统稳定的整体滑模控制方法

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This paper is concerned with sliding mode observer design and observer-based sliding mode controller synthesis for stochastic Ito descriptor systems. A novel integral sliding surface, which involves a product of sliding variable and a negative definite matrix, is constructed for the error system. It is shown that the product term not only has a stabilizing effect on the sliding variable, but also is beneficial to remove a restrictive assumption often employed in the sliding mode control for stochastic Ito systems. Observer-based sliding mode controllers are designed to ensure the retainability of sliding surfaces from the beginning almost surely, and the asymptotically mean square admissibility of resultant sliding motion can be determined by solving a linear matrix inequality (LMI). Two examples are performed to check the theoretical findings. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文涉及随机Ito描述符系统的滑模观测器设计和基于观测器的滑模控制器综合。为误差系统构造了一个新颖的整体滑动表面,其中包含滑动变量和负定矩阵的乘积。结果表明,乘积项不仅对滑动变量具有稳定作用,而且对于消除随机Ito系统在滑模控制中经常采用的限制性假设也是有好处的。基于观察者的滑模控制器旨在确保几乎从一开始就确保滑动表面的可保持性,并且可以通过解决线性矩阵不等式(LMI)来确定所得滑动运动的渐近均方容许度。进行两个例子来检验理论发现。 (C)2015 Elsevier B.V.保留所有权利。

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