Risk Control for Synchronizing a New Economic Model

Risk analysis in control problems is a critical but often overlooked issue in this research area. The main goal of this analysis is to assess the reliability of designed controllers and their impact on applied systems. The chaotic behavior of fractional-order economical systems has been extensively investigated in previous studies, leading to advancements in such systems. However, this chaotic behavior poses unpredictable risks to the economic system. This paper specifically investigates the reliability and risk analysis of chaotic fractional-order systems synchronization. Furthermore, we present a technique as a new mechanism to evaluate controller performance in the presence of obvious effects. Through a series of simulation studies, the reliability and risk associated with the proposed controllers are illustrated. Ultimately, we show that the suggested technique effectively reduces the risks associated with designed controllers.

Automated summary

Risk analysis is a critical issue in control problems, but often overlooked. The goal is to assess the reliability of designed controllers and their impact on applied systems. This study investigates the reliability and risk analysis of chaotic fractional-order systems synchronization, and proposes a new technique to evaluate controller performance. Through simulation studies, the reliability and risk associated with the proposed controllers are illustrated, showing that the suggested technique effectively reduces the risks.