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Improving stabilization of passive walking using chaos

机译:利用混沌提高被动行走的稳定性

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摘要

Passive walking is defined as walking down a shallow slope without using any muscular contraction as an active controller. Based on this definition, which was made to present the simple possible models of human gait, some knee-less models have been proposed. These simple passive models have the ability to show several different dynamics such as periodic and chaotic behaviors. Previously, the periodic behavior has been studied and considered as the only stable response, but recent dynamical analysis on human locomotion characteristics such as stride length exhibit that this process has chaotic behavior. The purpose of this paper is to demonstrate that the knee-less passive-dynamic models has the ability to show chaotic behavior as a stable and acceptable answer using a chaotic function in heel strike condition. Represented chaotic model's parameters have been examined and compared concluding that the novel model is robust to trivial changes of slope or initial conditions.
机译:被动步行被定义为在不使用任何肌肉收缩作为主动控制器的情况下,沿着浅坡行走。基于这个定义,它提出了简单的人体步态模型,提出了一些无膝关节模型。这些简单的被动模型具有显示几种不同动力学的能力,例如周期性和混沌行为。以前,周期性行为已被研究并认为是唯一的稳定响应,但是最近对人类运动特征(如步幅)的动力学分析表明该过程具有混沌行为。本文的目的是证明无膝被动动力学模型具有在后跟撞击条件下使用混沌函数将混沌行为显示为稳定且可接受的答案的能力。已检查并比较了代表的混沌模型的参数,得出的结论是,该新模型对坡度或初始条件的微小变化具有鲁棒性。

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