State-Space Representation: Structure Theorem

Related lectures (29)

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Explores observability and controllability in linear systems, emphasizing the significance of input decoupling for observability.

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Covers the basics of state-space representation and explores transformations to different forms.

Covers controllability and observability in linear systems, discussing necessary conditions and implications of unimodular matrices.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Covers the reduction of a linear application and finding corresponding reduced forms and bases.

Covers the design of observers in control systems and the computation of state feedback controllers.

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.

Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.