Harnessing Adaptive Synchronization in Enzyme-Substrate Systems with Brain Wave-Like Ferroelectric Behavior

Amarpreet Kaur
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Abstract

Abstract: This paper explores the application of chaos in various physical, electrical, chemical, and biological systems, with a specific focus on enzymes-substrate reactions exhibiting ferroelectric behaviour in brain waves. The study conducted by Enjieu Kadji, Chabi Orou, Yamapi, and Woafo (2007) is investi- gated, which examines the dynamic analysis and global chaos synchronization of a 2-D non-autonomous enzymes-substrates system subjected to a cosinusoidal forcing term. The phase portraits of the chaotic behaviousr in the enzymes-substrates system are depicted. Furthermore, novel adaptive control techniques are developed to achieve global synchronization of identical enzyme-substrates systems with uncertain parameters. The main results for global synchronization are derived using backstepping control, and MATLAB plots are included to illustrate these findings.
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利用酶-基质系统中的自适应同步与脑电波般的铁电行为
摘要:本文探讨了混沌在各种物理、电气、化学和生物系统中的应用,特别关注在脑电波中表现出铁电行为的酶-底物反应。本文研究了 Enjieu Kadji、Chabi Orou、Yamapi 和 Woafo(2007 年)所做的研究,该研究考察了受余弦强迫项影响的二维非自主酶-底物系统的动态分析和全局混沌同步。研究描绘了酶-底物系统中混沌行为的相位图。此外,还开发了新型自适应控制技术,以实现具有不确定参数的相同酶-底物系统的全局同步。利用反步态控制推导出了全局同步的主要结果,并通过 MATLAB 绘图来说明这些发现。
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