Is this project an undergraduate, graduate, or faculty project?
Graduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Rogelio Gracia Otalvaro, Graduate Student
Lead Presenter's Name
Rogelio Gracia Otalvaro
Lead Presenter's College
DB College of Arts and Sciences
Faculty Mentor Name
Bryan Watson
Abstract
Modern systems are becoming increasingly integrated and complex, which makes their management and understanding more challenging. This rising complexity raises the risk of system failures, emphasizing the importance of Resilience Engineering, a field dedicated to studying how systems perform under disruptions. However, the concept of resilience is interpreted in many ways, leading to a variety of measurement methods without a standardized approach. Additionally, conventional techniques like linear recovery models or probability-based methods often fall short when dealing with the nonlinearity and scale of contemporary systems. Bifurcation Analysis (BA) offers a mathematical approach to understanding how systems behave under changing conditions by examining nonlinear behaviors and transitional states, known as bifurcations. Although BA has been successfully applied in numerous fields, its adoption in Resilience Engineering remains limited. This paper further develops a novel framework that utilizes BA to assess the resilience of complex systems, demonstrated through a Multiple Input Multiple Output case study: the Oregonator autocatalytic reaction model.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Assessing Resilience in Complex Systems through Bifurcation Analysis: The Oregonator Autocatalytic Case Study
Modern systems are becoming increasingly integrated and complex, which makes their management and understanding more challenging. This rising complexity raises the risk of system failures, emphasizing the importance of Resilience Engineering, a field dedicated to studying how systems perform under disruptions. However, the concept of resilience is interpreted in many ways, leading to a variety of measurement methods without a standardized approach. Additionally, conventional techniques like linear recovery models or probability-based methods often fall short when dealing with the nonlinearity and scale of contemporary systems. Bifurcation Analysis (BA) offers a mathematical approach to understanding how systems behave under changing conditions by examining nonlinear behaviors and transitional states, known as bifurcations. Although BA has been successfully applied in numerous fields, its adoption in Resilience Engineering remains limited. This paper further develops a novel framework that utilizes BA to assess the resilience of complex systems, demonstrated through a Multiple Input Multiple Output case study: the Oregonator autocatalytic reaction model.