Networked Control Systems: Challenges and Opportunities

This lecture covers the organization of the course, including a review of linear system theory. It delves into challenges such as the impact of delays and packet drops, as well as opportunities like coordination examples and consensus in discrete and continuous time. The course also discusses control networks, linear matrix inequalities, and the coordination of multiple systems. The instructor provides a tentative timetable and course schedule, emphasizing the importance of understanding LTI systems and the elements of graph and matrix theory. Additionally, the lecture explores the impact of delays and packet drops on networked control systems, along with the opportunities presented by multiple system settings.

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ME-427: Networked control systems

This course offers an introduction to control systems using communication networks for interfacing sensors, actuators, controllers, and processes. Challenges due to network non-idealities and opportun

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Glossary of graph theory

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Connectivity (graph theory)

In mathematics and computer science, connectivity is one of the basic concepts of graph theory: it asks for the minimum number of elements (nodes or edges) that need to be removed to separate the remaining nodes into two or more isolated subgraphs. It is closely related to the theory of network flow problems. The connectivity of a graph is an important measure of its resilience as a network. In an undirected graph G, two vertices u and v are called connected if G contains a path from u to v.

Path (graph theory)

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Vertex (graph theory)

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