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Time-invariant approach to set-membership simulation and state observation for discrete linear time-invariant systems with parametric uncertainty

机译:带有参数不确定性的离散线性时不变系统的时不变方法集成员模拟和状态观察

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In this paper, a new algorithm for set-membership simulation and state observation of discrete linear time-invariant systems with structured uncertainty is proposed. It solves the problem of set-membership simulation and state observation determining, through optimisation, the minimum volume outer box (interval) enclosing the system states at every iteration. The originality of the algorithm is that considers the case of parametric time-invariant uncertainties. Several previous algorithms have considered the case of parametric time-varying uncertainties. However, recently it has been presented possible unstability problems when simulating a time-invariant uncertain system as it were time varying, being this result the motivation for the approach proposed in this paper. Finally, an example of application of the proposed approach for set-membership simulation and observation is presented.
机译:在本文中,提出了一种新的集合仿真算法和具有结构不确定度的离散线性时间不变系统的新算法。它解决了设定隶属仿真和状态观察确定,通过优化,在每次迭代时封装系统状态的最小卷外框(间隔)。该算法的原创性是考虑参数的时间不变性的不确定性的情况。几个以前的算法已经考虑了参数时变化不确定性的情况。然而,最近在模拟时间不确定系统时呈现可能的不稳定问题,因为它变化时,这导致了本文提出的方法的动机。最后,介绍了所提出的设定隶属仿真和观察方法的应用示例。

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