多稳态
Boosting(机器学习)
偏移量(计算机科学)
吸引子
数学
平衡点
非线性系统
控制理论(社会学)
数学分析
算法
计算机科学
物理
人工智能
微分方程
程序设计语言
控制(管理)
量子力学
作者
Mo Chen,Xue Ren,Huagan Wu,Quan Xu,Bocheng Bao
标识
DOI:10.1016/j.chaos.2019.109544
摘要
Abstract Initial offset boosting behaviors with homogenous, heterogeneous or extreme multistability have been reported in several nonlinear systems, but the forming mechanisms were rarely discussed. To figure out this problem, a four-dimensional (4-D) memristive system with cosine memductance is presented, which can exhibit initial offset boosting related to extreme multistability. Taking this 4-D memristive system as paradigm, a three-dimensional (3-D) system with standalone initials-related parameters is reconstructed in an integral domain. Thus, the original line equilibrium set is mapped as some periodically varied equilibrium points, which allows that the initial offset boosting is modeled as variable offset boosting with infinite topologically different attractors. Besides, the reconstituted 3-D model exhibits bi-stability or quadri-stability for fixed parameters, but it maintains the dynamics of the 4-D memristive system when initiated from the neighborhood of the origin point. Finally, circuit synthesis, PSIM simulations, and experimental measurements are carried out to validate the reconstituted variable offset boosting behaviors.
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