Dynamic Systems Modeling with Mathematical Models

Dynamic systems modeling involves creating mathematical models that describe the behavior of systems over time. In this presentation, we explore two mathematical models commonly used in dynamic systems analysis: differential equations and transfer functions. We discuss how these models can be used to predict the future behavior of complex systems, such as biological systems, engineering systems, and financial systems. We also provide examples of real-world applications of dynamic systems modeling, including modeling the spread of infectious diseases and predicting stock market trends.