Observability and Controllability

Related lectures (27)

Page 2 of 3

Covers direct methods for solving linear systems in numerical analysis.

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Covers system theory, classic feedback control, and applications in green building and natural gas refrigeration plants.

Introduces Convex Optimization notation, convex functions, vector norms, and matrix properties.

Covers the concept of balanced realization in the SISO case, focusing on system observability and controllability.

Covers matrices, linear applications, vector spaces, and bijective functions.

Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.

Explores matrix rank, subspaces, and their role in solving linear systems of equations.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Explores the Rank Theorem in linear algebra, covering matrix properties and determinants.