Networked Control Systems: Challenges and Opportunities

Related lectures (30)

Page 3 of 3

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

Introduces Spectral Graph Theory, exploring eigenvalues and eigenvectors' role in graph properties.

Covers girth, independence, probability, union bound, sets, and hypergraph recoloring.

Explores pseudorandomness and the Expander Mixing Lemma in the context of d-regular graphs.

Explores the Matrix Tree Theorem and its application in calculating spanning trees in graphs.

Covers the concept of graph sketching with a focus on connected components.

Explores Belief Propagation in graphical models, factor graphs, spin glass examples, Boltzmann distributions, and graph coloring properties.

Discusses the importance of assembly in manufacturing and covers common couplings, stability, and spatial vectors.

Explores Linear Matrix Inequalities in networked control systems and analyzes control networks' basics and performance.

Covers polynomial identity testing using oracles and random point evaluation, with applications in graph theory and algorithmic aspects.