Lecture

Consensus in Networked Control Systems

Description

This lecture covers the concept of consensus in networked control systems, focusing on the design of graph weights to guarantee consensus. It discusses the Metropolis-Hasting model, the equal-neighbour model, and properties of adjacency matrices. The lecture also explores the implications of row-stochastic matrices, primitive graphs, and doubly stochastic matrices in ensuring consensus.

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