Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering

Abstract

Systems engineering crosses multiple engineering disciplines for the design, control, and overall management of engineered systems. Such systems can be classified into chemical, civil, management, electrical, mechanical, and geotechnical areas. All these systems have an intrinsic complexity such that their analysis and synthesis should be addressed through understanding the systems as a whole, as well as the interactions between their parts. Today, advancements in systems engineering are directly related to the latest disruptive technology developments, ranging from the Internet of Things (IoT) and cyber-physical systems to the creation of digital twins. Depending on the working areas, the applications are disparate, encompassing self-driving cars, food processing, business services, and infrastructure management, among many others. Systems engineering is a development framework for dynamic modelling and simulation, operation and control, optimization methods, and risk analysis related to all the aforementioned applications and working areas.