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Lecture
Networked Control Systems: Consensus and Connectivity
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Related lectures (28)
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Spectral Properties of Non-negative Matrices
Covers the spectral properties of non-negative matrices and their interpretation in digraphs.
Numerical Analysis: Linear Systems
Covers the analysis of linear systems, focusing on methods such as Jacobi and Richardson for solving linear equations.
Primitive Matrices and Spectral Properties in Networked Control Systems
Explores primitive matrices, dominant eigenvalues, and spectral properties in networked control systems.
Characteristic Polynomials and Similar Matrices
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Diagonalization of Linear Transformations
Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.
Eigenvalues and Fibonacci Sequence
Covers eigenvalues, eigenvectors, and the Fibonacci sequence, exploring their mathematical properties and practical applications.
Matrix Equations: Finding Free Variables
Explains how to find free variables in matrix equations and analyze characteristic polynomials.
Diagonalization Method: Application and Properties
Covers the method of diagonalization for determining if a non-square matrix A is diagonalizable.
Irreducible Matrices and Strong Connectivity
Explores irreducible matrices and strong connectivity in networked control systems, emphasizing the importance of adjacency matrices and graph structures.
Diagonalization of Linear Transformations
Covers the diagonalization of linear transformations in R^3, exploring properties and examples.
