Two simple memristive maps with adaptive energy regulation and digital signal process verification

作     者：Feifei YANG Lujie REN Jun MA Zhigang ZHU Feifei YANG;Lujie REN;Jun MA;Zhigang ZHU

作者机构：College of Electrical and Information EngineeringLanzhou University of TechnologyLanzhou 730050China Department of PhysicsLanzhou University of TechnologyLanzhou 730050China School of Information Science and EngineeringDalian Polytechnic UniversityDalian 116034China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2024年第25卷第5期

页      面：382-394页

核心收录：

学科分类：080903[工学-微电子学与固体电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 070201[理学-理论物理] 0702[理学-物理学] 

基　　金：supported by the National Natural Science Foundation of China(No.12072139) 

主　　题：Hamilton energy Discrete memristor Self-adaptive regulation Digital signal process(DSP)implementation 

摘      要：Mathematical models can produce desired dynamics and statistical properties with the insertion of suitable nonlinear terms,while energy characteristics are crucial for practical application because any hardware realizations of nonlinear systems are relative to energy *** involvement of memristive terms relative to memristors enables multistability and initial-dependent property in memristive *** this study,two kinds of memristors are used to couple a capacitor or an inductor,along with a nonlinear resistor,to build different neural *** corresponding circuit equations are derived to develop two different types of memristive oscillators,which are further converted into two kinds of memristive maps after linear *** Hamilton energy function for memristive oscillators is obtained by applying the Helmholz theorem or by mapping from the field energy of the memristive *** Hamilton energy functions for both memristive maps are obtained by replacing the gains and discrete variables for the memristive oscillator with the corresponding parameters and *** two memristive maps have rich dynamic behaviors including coherence resonance under noisy excitation,and an adaptive growth law for parameters is presented to express the self-adaptive property of the memristive maps.A digital signal process(DSP)platform is used to verify these *** scheme will provide a theoretical basis and experimental guidance for oscillator-to-map transformation and discrete map-energy calculation.