记忆电阻器
神经形态工程学
混乱的
联轴节(管道)
计算机科学
频道(广播)
混沌(操作系统)
拓扑(电路)
算法
控制理论(社会学)
电子工程
人工智能
人工神经网络
工程类
电气工程
控制(管理)
电信
机械工程
计算机安全
作者
Houzhen Li,Zhongyun Hua,Han Bao,Lei Zhu,Mo Chen,Bocheng Bao
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2020-09-15
卷期号:68 (10): 9931-9940
被引量:201
标识
DOI:10.1109/tie.2020.3022539
摘要
Continuous memristor has been widely used in chaotic oscillating circuits and neuromorphic computing systems. However, discrete memristor and its coupling discrete map have not been noticed yet. This article presents a discrete memristor and constructs a general two-dimensional memristive map model by coupling the discrete memristor with an existing discrete map. The pinched hysteresis loops of the discrete memristor are demonstrated. Four examples of memristive discrete maps are provided and their coupling strength-relied and memristor initial-boosted complex dynamics are investigated using numerical measures. The evaluation results manifest that the discrete memristor can enhance the chaos complexity and its coupling maps can generate hyperchaos. Particularly, the hyperchaotic sequences can nondestructively be controlled by memristor initial state and the initial-controlled hyperchaos is robust, which is applicable to many chaos-based applications. Additionally, we develop a hardware platform to implement the memristive maps and acquire the four-channel hyperchaotic sequences. We also apply the memristive maps to the application of secure communication and the experiments show that the memristive maps display better performance than some existing discrete maps.
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