MECH.5550 Networked Multi-Agent Systems

Description

Our world is increasingly becoming more connected, with multiple natural and engineered entities operating in a common space, and possessing the capability to sense, react to, and manipulate the physical world around us. Many modern world systems such as the traffic networks, multi-robot systems, stock exchanges, and even human societies, exist as multi-agent systems (or system-of-systems). In this course, we will discuss approaches to model, quantify, and influence (or control) the global behaviors of these multi-agent systems. The course will provide introductory dynamic modeling techniques for multi-agent systems. The course will provide introductory dynamic modeling techniques for multi-agent systems, discuss information-theoretic measures for quantifying the behaviors of these systems, and provide techniques to design stat-of-the a-art controllers for these systems.

Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.