Networked Control and Multiagent Systems
CMPE Degree: This course is Not Applicable for the CMPE degree.
EE Degree: This course is Not Applicable for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): Systems and Controls
Prerequisites: ECE 6550*
Catalog DescriptionCovers tools and techniques for networked control systems as well as application domains and promising research directions.
Textbook(s)Graph Theoretic Methods in Multiagent Networks, Distributed Control of Robotic Networks, Algebraic Graph Theory
Student OutcomesIn the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. ( Not Applicable ) An ability to communicate effectively with a range of audiences
4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
The course will be divided into five parts, corresponding to the following topics:
(1) Network Models (graphs, random graphs, random geometric graphs, state-dependent graphs, switching networks)
(2) Decentralized Control (limited computational, communications, and controls resources in networked control systems)
(3) Multi-Agent Robotics (formation control, sensor and actuation models)
(4) Mobile Sensor Networks (coverage control, voronoi-based cooperation strategies)
(5) LANdroids (mobile communications networks, connectivity maintenance)