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Rank Properties of Poincare Maps for Hybrid Systems with Applications to Bipedal Walking

机译:混合系统的Poincare映射的秩性质及其在双足步行中的应用

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The equivalence of the stability of periodic orbits with the stability of fixed points of a Poincare map is a well-known fact for smooth dynamical systems. In particular, the eigenvalues of the linearization of a Poincare map can be used to determine the stability of periodic orbits. The main objective of this paper is to study the properties of Poincare maps for hybrid systems as they relate to the stability of hybrid periodic orbits. The main result is that the properties of Poincare maps for hybrid systems are fundamentally different from those for smooth systems, especially with respect to the linearization of the Poincare map and its eigenvalues. In particular, the linearization of any Poincare map for a smooth dynamical system will have one trivial eigenvalue equal to 1 that does not affect the stability of the orbit. For hybrid systems, the trivial eigenvalues are equal to 0 and the number of trivial eigenvalues is bounded above by dimensionality differences between the different discrete domains of the hybrid system and the rank of the reset maps. Specifically, if n is the minimum dimension of the domains of the hybrid system, then the Poincare map on a domain of dimension m > n results in at least m — n + 1 trivial 0 eigenvalues, with the remaining eigenvalues determining the stability of the hybrid periodic orbit. These results will be demonstrated on a nontrivial multi-domain hybrid system: a planar bipedal robot with knees.
机译:对于光滑动力系统来说,周期轨道的稳定性与庞加莱图的固定点的稳定性是等效的。特别地,庞加莱图的线性化的特征值可以用于确定周期性轨道的稳定性。本文的主要目的是研究Poincare映射对于混合系统的性质,因为它们与混合周期轨道的稳定性有关。主要结果是,混合系统的Poincare映射的属性与平滑系统的属性根本不同,尤其是在Poincare映射及其特征值的线性化方面。尤其是,对于光滑动力系统的任何庞加莱图的线性化,将具有一个等于1的平凡特征值,这不会影响轨道的稳定性。对于混合系统,平凡特征值等于0,并且平凡特征值的数量在上面受到混合系统不同离散域之间的维数差异和重置图的等级的限制。具体来说,如果n是混合系统域的最小维,则维m> n的域上的庞加莱图至少会产生m_n + 1个平凡的0特征值,其余特征值决定了该系统的稳定性。混合周期轨道。这些结果将在非平凡的多域混合系统上展示:带有膝盖的平面双足机器人。

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