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Sliding mode control design for parametric uncertain stochastic systems with state delay using functional observer

机译:基于功能观测器的状态不确定参数不确定随机系统的滑模控制设计

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This study is concerned with the problem of the functional observer-based sliding mode control (SMC) design for parametric uncertain discrete-time delayed stochastic systems includes mismatched parameter uncertainty in the state matrix and in the delayed state matrix. Stability analysis of sliding function is presented in the time delayed stochastic system with a linear matrix inequality approach. Moreover, it is shown that the state trajectories can be driven onto the specified sliding surface despite the presence of state delay, unmatched parameter uncertainty and stochastic noise in the system. The research is motivated by the fact that the system states are not always accessible for the state feedback. Therefore, SMC is estimated using the functional observer technique. To mitigate the side effect of the parameter uncertainty on the estimation error, a sufficient condition of stability is proposed based on Gershgorin disc theorem. The claims made are validated through numerical simulations.
机译:这项研究涉及参数不确定不确定离散时间延迟随机系统的基于功能观测器的滑模控制(SMC)设计问题,其中包括状态矩阵和延迟状态矩阵中不匹配的参数不确定性。采用线性矩阵不等式方法,对时滞随机系统进行了滑动函数的稳定性分析。而且,示出了尽管系统中存在状态延迟,不匹配的参数不确定性和随机噪声,但是状态轨迹可以被驱动到指定的滑动表面上。该研究的动机是,系统状态并不总是可以通过状态反馈访问。因此,SMC是使用功能观察器技术估算的。为了减轻参数不确定性对估计误差的影响,基于Gershgorin圆盘定理提出了充分的稳定性条件。通过数值模拟验证了提出的索赔。

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