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在音声元结构中和通过音声元结构体现多功能机械智能,利用物理水库计算
Yuning Zhang1, Aditya Deshmukh1, Kon-Well Wang1
1Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|October 23, 2023
概括
研究人员使用物理储库计算 (PRC) 在适应性结构中开发了机械智能 (MI). 这种方法将感知,决策和指挥直接集成到材料中,使更低功耗的先进自主系统成为可能.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 计算机科学 计算机科学
背景情况:
- 自主系统需要具有内置机械智能 (MI) 的适应性结构.
- 之前的MI方法缺乏整合智能功能的系统方法.
- 传统系统依赖于外部计算机,增加功率和复杂性.
研究的目的:
- 在适应性结构中开发一种系统方法来创建多功能机械智能 (MI).
- 将计算能力和智能功能直接集成到机械领域.
- 推进适应性结构,超越对附加电子的传统依赖.
主要方法:
- 利用物理储存器计算 (PRC) 在机械系统中体现计算和智能.
- 开发了一个机械智能语音元结构作为一个示例平台.
- 充分利用元结构的非线性动力学,为中国人民共和国的能力.
主要成果:
- 证明了多功能MI,包括自调波控和基于波的逻辑门.
- 在机械结构中成功地整合了感知,决策和指挥.
- 通过分析和实验结果验证了中国的方法.
结论:
- 这项研究为下一代智能结构和材料奠定了基础.
- 中国的方法提供了更低的功耗,直接的互动,并提高了生存能力.
- 在系统中实现新的功能和自主性,而不会过载机载计算机.
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