Consensus in Networked Control Systems

Related lectures (29)

Page 2 of 3

Introduces elementary graph algorithms, focusing on Breadth-First Search and Depth-First Search.

Explores coordination in networked control systems, graph theory, and consensus algorithms.

Introduces graph theory basics, graph representation methods, and traversal algorithms like BFS and DFS.

Covers graph properties, representations, and traversal algorithms using BFS and DFS.

Explores memory management, graph representation, and traversal algorithms in Python, emphasizing BFS and DFS.

Explores algebraic graph theory applied to networked control systems and consensus algorithms.

Explores the consensus theorem for communication networks and the implications of various consensus properties in networked control systems.

Explores interlacing families, Ramanujan graphs, and their construction using signed adjacency matrices.

Explores consensus algorithms in digraphs, focusing on scenarios where the digraph is not strongly connected.

Covers graphical models for probability distributions and factor graphs representation.