{"title":"新型三维混沌系统的分析、隐藏共存、自适应控制、偏置升压控制及电路实现","authors":"Faiza Zaamoune , Imad Eddine Tinedert , Tidjani Menacer","doi":"10.1016/j.ejcon.2025.101259","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents the construction of a novel three-dimensional system that includes three unstable points. The system exhibits three key properties. This system is identified as demonstrating chaotic behavior characterized by two nonlinear elements. Control-related issues are subsequently addressed through the design of the adaptive controller. The adaptive control method incorporates considerations for potential parameter uncertainty. Given that only a single state variable is accessible for the development of the feedback controller, it is concluded that one parameter remains entirely unspecified as a result of the employed methodology. The adaptive controller employs principles derived from Lyapunov stability analysis. The system was also shown to contain multiple hidden coexisting states within a specified parameter range. The combined influence of novel features has not yet been monitored in a chaotic system characterized by unstable equilibrium points. An electronic analogue circuit of the novel chaotic system was developed using MultiSIM, thereby demonstrating the practical viability of the mathematical model for circuit implementation.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"84 ","pages":"Article 101259"},"PeriodicalIF":2.5000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of novel 3D chaotic system, hidden coexisting, adaptive control, offset boosting control, and circuit implementation\",\"authors\":\"Faiza Zaamoune , Imad Eddine Tinedert , Tidjani Menacer\",\"doi\":\"10.1016/j.ejcon.2025.101259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents the construction of a novel three-dimensional system that includes three unstable points. The system exhibits three key properties. This system is identified as demonstrating chaotic behavior characterized by two nonlinear elements. Control-related issues are subsequently addressed through the design of the adaptive controller. The adaptive control method incorporates considerations for potential parameter uncertainty. Given that only a single state variable is accessible for the development of the feedback controller, it is concluded that one parameter remains entirely unspecified as a result of the employed methodology. The adaptive controller employs principles derived from Lyapunov stability analysis. The system was also shown to contain multiple hidden coexisting states within a specified parameter range. The combined influence of novel features has not yet been monitored in a chaotic system characterized by unstable equilibrium points. An electronic analogue circuit of the novel chaotic system was developed using MultiSIM, thereby demonstrating the practical viability of the mathematical model for circuit implementation.</div></div>\",\"PeriodicalId\":50489,\"journal\":{\"name\":\"European Journal of Control\",\"volume\":\"84 \",\"pages\":\"Article 101259\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0947358025000883\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0947358025000883","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Analysis of novel 3D chaotic system, hidden coexisting, adaptive control, offset boosting control, and circuit implementation
This study presents the construction of a novel three-dimensional system that includes three unstable points. The system exhibits three key properties. This system is identified as demonstrating chaotic behavior characterized by two nonlinear elements. Control-related issues are subsequently addressed through the design of the adaptive controller. The adaptive control method incorporates considerations for potential parameter uncertainty. Given that only a single state variable is accessible for the development of the feedback controller, it is concluded that one parameter remains entirely unspecified as a result of the employed methodology. The adaptive controller employs principles derived from Lyapunov stability analysis. The system was also shown to contain multiple hidden coexisting states within a specified parameter range. The combined influence of novel features has not yet been monitored in a chaotic system characterized by unstable equilibrium points. An electronic analogue circuit of the novel chaotic system was developed using MultiSIM, thereby demonstrating the practical viability of the mathematical model for circuit implementation.
期刊介绍:
The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field.
The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering.
The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications.
Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results.
The design and implementation of a successful control system requires the use of a range of techniques:
Modelling
Robustness Analysis
Identification
Optimization
Control Law Design
Numerical analysis
Fault Detection, and so on.