Research on Information Identification of Chaotic Map with Multi-Stability

Influenced by the rapid development of artificial intelligence, the identification of chaotic systems with intelligent optimization algorithms has received widespread attention in recent years. This paper focuses on the intelligent information identification of chaotic maps with multi-stability prop...

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Main Authors: You Li, Yuexi Peng
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/7/11/811
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author You Li
Yuexi Peng
author_facet You Li
Yuexi Peng
author_sort You Li
collection DOAJ
description Influenced by the rapid development of artificial intelligence, the identification of chaotic systems with intelligent optimization algorithms has received widespread attention in recent years. This paper focuses on the intelligent information identification of chaotic maps with multi-stability properties, and an improved sparrow search algorithm is proposed as the identification algorithm. Numerical simulations show that different initial values can lead to the same dynamic behavior, making it impossible to stably and accurately identify the initial values of multi-stability chaotic maps. An identification scheme without considering the initial values is proposed for solving this problem, and simulations demonstrate that the proposed method has the highest identification precision among seven existing intelligent algorithms and a certain degree of noise resistance. In addition, the above research reveals that chaotic systems with multi-stability may have more potential applications in fields such as secure communication.
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spelling doaj.art-d01615c6ad0c457db212fe4e907622592023-11-24T14:43:03ZengMDPI AGFractal and Fractional2504-31102023-11-0171181110.3390/fractalfract7110811Research on Information Identification of Chaotic Map with Multi-StabilityYou Li0Yuexi Peng1Development and Planning Department, Hunan Sports Vocational College, Changsha 410019, ChinaKey Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan 411105, ChinaInfluenced by the rapid development of artificial intelligence, the identification of chaotic systems with intelligent optimization algorithms has received widespread attention in recent years. This paper focuses on the intelligent information identification of chaotic maps with multi-stability properties, and an improved sparrow search algorithm is proposed as the identification algorithm. Numerical simulations show that different initial values can lead to the same dynamic behavior, making it impossible to stably and accurately identify the initial values of multi-stability chaotic maps. An identification scheme without considering the initial values is proposed for solving this problem, and simulations demonstrate that the proposed method has the highest identification precision among seven existing intelligent algorithms and a certain degree of noise resistance. In addition, the above research reveals that chaotic systems with multi-stability may have more potential applications in fields such as secure communication.https://www.mdpi.com/2504-3110/7/11/811identificationchaotic mapsparrow search algorithmmulti-stabilityinitial value
spellingShingle You Li
Yuexi Peng
Research on Information Identification of Chaotic Map with Multi-Stability
Fractal and Fractional
identification
chaotic map
sparrow search algorithm
multi-stability
initial value
title Research on Information Identification of Chaotic Map with Multi-Stability
title_full Research on Information Identification of Chaotic Map with Multi-Stability
title_fullStr Research on Information Identification of Chaotic Map with Multi-Stability
title_full_unstemmed Research on Information Identification of Chaotic Map with Multi-Stability
title_short Research on Information Identification of Chaotic Map with Multi-Stability
title_sort research on information identification of chaotic map with multi stability
topic identification
chaotic map
sparrow search algorithm
multi-stability
initial value
url https://www.mdpi.com/2504-3110/7/11/811
work_keys_str_mv AT youli researchoninformationidentificationofchaoticmapwithmultistability
AT yuexipeng researchoninformationidentificationofchaoticmapwithmultistability