Dynamics and Robust Synchronization of an Oscillator With Cubic and Signum Terms

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2025-05-02 DOI:10.1155/cplx/9968119
Fernando E. Serrano, Viet-Thanh Pham, Giuseppe Grassi
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引用次数: 0

Abstract

In recent years, there has been a marked surge in research focused on nonlinear oscillators. Among these, a particular emphasis has been placed on a class of oscillators distinguished by their concealed attractors, drawing considerable attention due to their unique characteristics. This paper delves into the exploration of an elegant oscillator belonging to this distinctive class. Despite comprising five terms and lacking equilibrium points, this oscillator displays remarkably intricate dynamics. The study covers various aspects such as chaos, hidden attractors, offset boosting, and notably, different strange attractors exhibited by this oscillator. Additionally, approaches involving synchronization for such oscillators are introduced. Apart from the presentation of the novel chaotic oscillator, the synchronization of a nominal and uncertain chaotic system is evinced by the sliding mode technique (super-twisting algorithm) in the first case, and a robust controller is synthesized, respectively. The appropriate Lyapunov functions are implemented in the two synchronization strategies leading to obtain suitable control strategies to achieve fast and accurate control laws. The respective simulations are performed along with the conclusions of this work.

Abstract Image

三次项和sgn项振荡器的动力学与鲁棒同步
近年来,对非线性振荡器的研究有了显著的发展。其中,特别强调了一类以其隐藏吸引子为特征的振子,由于其独特的特性而引起了相当大的关注。本文深入探讨了属于这一独特类别的优雅振荡器。尽管该振子由五项组成且缺乏平衡点,但却表现出非常复杂的动力学。研究涵盖了混沌、隐藏吸引子、抵消助推等各个方面,特别是该振子所表现出的不同奇异吸引子。此外,还介绍了涉及这类振荡器同步的方法。除了提出新的混沌振荡器外,在第一种情况下,采用滑模技术(超扭转算法)证明了标称混沌系统和不确定混沌系统的同步,并分别合成了鲁棒控制器。在两种同步策略中实现适当的Lyapunov函数,从而获得合适的控制策略,以实现快速准确的控制律。根据本文的结论,进行了相应的仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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