从生物分形动力学到模拟分数阶电路:基于运筹学思想的系统设计框架

IF 3.6 Q1 ENGINEERING, MECHANICAL 国际机械系统动力学学报(英文) Pub Date : 2026-10-08 Epub Date: 2026-08-04 DOI:10.1002/msd2.70082
Zhimo Jian, Zheng Li, Gang Peng, Chaoqian Luo, Yajun Yin
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引用次数: 0

摘要

分数阶微积分以其在描述记忆和非局部效应方面的独特优势,已成为非线性动态系统建模的重要工具。它与电路系统的集成为现代电路设计开辟了新的范例。然而,模拟分数阶电路(AFCs)的发展受到理想分数阶元件难以物理实现和缺乏系统设计理论的限制。基于物理分形空间中的生物动力学和运筹学思想,本文旨在为解决上述挑战提供一种新的方法。本文的核心工作是系统地将运筹学思想引入电路领域,构建一个适用于多学科的通用分数阶系统设计框架。与传统方法依赖于后端优化不同,本研究侧重于前端分数阶系统的内在构建。通过深入理解分数阶算符的物理内涵,利用力电类比原理,实现了用经典整数阶分量逼近分数阶电路。理论分析和电路仿真表明,该方法不仅简化了设计过程,而且从物理角度揭示了分数阶电路与分形算子之间的内在联系,为高性能、可积分形电路的设计提供了坚实的理论基础和创新路径。
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From Biological Fractal Dynamics to Analog Fractional-Order Circuits: A System Design Framework Based on Operatorization Thought

Fractional calculus, with its unique advantage in describing memory and nonlocal effects, has become a key tool for modeling nonlinear dynamic systems. Its integration with circuit systems has opened up a new paradigm for modern circuit design. However, the development of analog fractional-order circuits (AFCs) is limited by the difficulty in physical implementation of ideal fractional-order elements (fractances) and the lack of systematic design theories. Based on biological dynamics in physical fractal space and operatorization thought, this article aims to provide a novel approach to address the above challenges. The core work of this paper is to systematically introduce operatorization thought into the field of circuits and construct a universal fractional-order system design framework applicable to multiple disciplines. Unlike traditional methods relying on backend optimization, this research focuses on the intrinsic construction of frontend fractional-order systems. By deeply understanding the physical connotation of fractional-order operators and leveraging the force-electricity analogy principle, the approximation of fractional-order circuits using classical integer-order components is realized. Theoretical analysis and circuit simulations demonstrate that this method not only simplifies the design process but also reveals the inherent connection between fractional-order circuits and fractal operators from a physical perspective, providing a solid theoretical basis and innovative path for the design of high-performance, integrable fractal circuits.

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