Networked Control Systems: Challenges and Opportunities

Related lectures (30)

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

Explores properties of matrices, irreducibility, and graph connectivity in networked control systems.

Explores the application of matrices and eigendecompositions in networks.

Explores graph theory, stochastic matrices, consensus algorithms, and spectral properties in networked control systems.

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

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Explores Laplacian flow, heat equation analogies, and microgrid networked controllers.

Explores interlacing families of polynomials and 1-sided Ramanujan graphs, focusing on their properties and construction methods.

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Explores Cheeger's inequalities for random walks on graphs and their implications.