忆阻器和电容网络的无源控制

IF 2.1 3区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

Systems & Control Letters Pub Date : 2025-06-12 DOI:10.1016/j.sysconle.2025.106156

M.A. Huijzer, A.J. van der Schaft, B. Besselink

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引用次数: 0

摘要

本文提出了一个模拟忆阻器和电容网络的数学框架。利用这个框架，我们分析了网络中忆阻器处磁通的动态行为。特别地，我们证明了当网络没有外部输入时，忆阻器处的磁通收敛于渐近稳定的平衡。此外，从基于无源的控制中获得灵感，我们引入了两种控制策略，可用于将记忆电阻器的磁通引导到期望的平衡方向。在这项工作中提出的结果对神经形态计算特别感兴趣，因为该领域建议在人工神经网络的硬件实现中使用忆阻器作为突触权重。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Passivity-based control of networks of memristors and capacitors

This paper presents a mathematical framework for modelling networks of memristors and capacitors. Using this framework, we analyse the dynamic behaviour of the fluxes at the memristors in the network. In particular, we show that when no external input is applied to the network, the fluxes at the memristors converge towards an asymptotically stable equilibrium. Moreover, by taking inspiration from passivity-based control, we introduce two control strategies that can be used to steer the fluxes at the memristors in the direction of a desired equilibrium. The results presented in this work are particularly of interest to Neuromorphic Computing as that field suggests utilising memristors as the synaptic weights in hardware implementations of ANNs.

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来源期刊

Systems & Control Letters 工程技术-运筹学与管理科学

CiteScore

4.60

自引率

3.80%

发文量

144

审稿时长

6 months

期刊介绍： Founded in 1981 by two of the pre-eminent control theorists, Roger Brockett and Jan Willems, Systems & Control Letters is one of the leading journals in the field of control theory. The aim of the journal is to allow dissemination of relatively concise but highly original contributions whose high initial quality enables a relatively rapid review process. All aspects of the fields of systems and control are covered, especially mathematically-oriented and theoretical papers that have a clear relevance to engineering, physical and biological sciences, and even economics. Application-oriented papers with sophisticated and rigorous mathematical elements are also welcome.