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Lecture
Networked Control Systems: Opportunities
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Related lectures (30)
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Graphical Models: Representing Probabilistic Distributions
Covers graphical models for probabilistic distributions using graphs, nodes, and edges.
Networked Control Systems: Properties and Connectivity
Explores properties of matrices, irreducibility, and graph connectivity in networked control systems.
Sparsest Cut: ARV Theorem
Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.
Minimum Spanning Trees: Prim's Algorithm
Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.
Cheeger's Inequalities
Explores Cheeger's inequalities for random walks on graphs and their implications.
Networked Control Systems: Coordination Among Agents
Explores coordination among agents in networked control systems through graph theory and real-world examples.
Graph Theory and Network Flows
Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.
Networked Control Systems: Challenges and Opportunities
Explores challenges and opportunities in networked control systems, covering LTI systems, delays, packet drops, and consensus.
Statistical Analysis of Network Data
Introduces network data structures, models, and analysis techniques, emphasizing permutation invariance and Erdős-Rényi networks.
Connectivity in Graph Theory
Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.
