Simulation in Systems Engineering: Continuous-Time Systems

Catalog description

This course addresses system dynamics modeling and simulation for the analysis of complex systems. It provides the theoretical and technical knowledge necessary to conceptualize dynamics of complex systems, formulate appropriate simulation models, and use models to understand the system behavior and develop effective policy interventions. Students are exposed to the techniques used to form models of supply-demand, mechanical, electrical, biological, and hybrid systems. The course starts with an overview of system dynamics (SD) as a "set of conceptual tools that enable us to understand the structure and dynamics of complex systems". Then, students learn about tools and techniques that enable us to use SD as a rigorous modeling method to build formal computer simulations of complex systems. Also, the use of computer-based simulation software packages will be addressed. After understanding how to test the validity of the simulation model, and analyze the sensitivity of the model to uncertainty in parameters and/or structural changes, students will learn how to use SD to model and analyze basic electromechanical and hybrid systems. Advanced topics, including simulation-based optimization and application of SD in modeling interdependent infrastructure, socio-economic, and hybrid renewable energy systems, are covered to provide students with an insight to the applications of SD in studying contemporary issues.