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Qualitative differences of two classes of multivariable super-twisting algorithms

机译:两类多变量超扭曲算法的质量差异

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In this paper we compare two families of multivariable super-twisting algorithms. The first family is an implementation of independent generalised super-twisting algorithms, whereas the second one presents nonlinearities that couple all the states. For the latter, the Lyapuov stability proof boils down to the positive-definitiveness test of a 2 ?? 2 matrix, in spite of the number of states. This second family is a generalisation of the multivariable super-twisting algorithm available in the literature. Furthermore, we highlight differences between these families regarding i) the discontinuity of the state space; ii) the number of design parameters; and iii) their convergence properties. We show their applicability and differences by designing an observer for a continuous-time, linear, time-invariant system. To conclude, we present a motivating example that suggests the robust stability of the feedback interconnection of generalised super-twisting algorithms.
机译:在本文中,我们比较了两个系列的多变量超扭曲算法。第一个家族是独立的广义超扭曲算法的实现,而第二个家族则呈现了耦合所有状态的非线性。对于后者,Lyapuov稳定性证明归结为2Ω的正定性检验。 2个矩阵,尽管有许多状态。该第二族是文献中可用的多变量超扭曲算法的概括。此外,我们着重指出了这些家庭之间的差异:i)国家空间的不连续性; ii)设计参数的数量; iii)它们的收敛特性。通过为连续时间,线性,时不变系统设计观察器,我们展示了它们的适用性和差异。总而言之,我们提出了一个有启发性的示例,该示例提出了通用超扭曲算法的反馈互连的鲁棒稳定性。

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