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Improving stabilization of passive walking using chaos

机译:使用混乱改善被动行走的稳定

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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:被动行走被定义为在浅坡度下行而不使用任何肌肉收缩作为有源控制器。基于这种定义,这是为了呈现人体步态的简单可能模型,已经提出了一些膝关型的模型。这些简单的被动模型能够显示几种不同的动态,例如周期性和混沌行为。此前,已经研究了周期性行为并被认为是唯一稳定的响应,但最近对人类运动特性的动态分析如行程长度表现出该过程具有混沌行为。本文的目的是证明膝关节的无源动力模型能够将混沌行为显示为使用鞋跟打击条件中的混沌功能的稳定和可接受的答案。已经检查了混沌模型的参数,并比较了小说模型对坡度或初始条件的微不足道的变化具有鲁棒性。

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