StateSpace ControlCanonical: Canonical Forms

Related lectures (27)

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

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

Covers the composition and product of matrices, including matrix multiplication.

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

Explores injective and surjective linear transformations, kernel, image, and matrix operations.

Explores density operator matrix transformation in quantum physics and the implications of measuring the system, leading to state collapse.

Explores changing frames in 2D through translations, rotations, and the introduction of a transformation matrix U.

Covers matrix multiplication, properties, and inverses in linear algebra.

Covers the structure theorem for state-space representations and companion forms.

Explores the relationship between linear applications and matrices, emphasizing the conversion process between them.