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Concept

Controllability

Related lectures (32)

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

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

Explores control problems, eigenvalue assignment, and canonical controllability form for single-input systems.

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

Covers control canonical form, state transformations, and full state feedback control.

Explores controllability in state-space models, state transformations, and their impact on state gain.

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

Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.

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

Explores reachability and controllability of LTI systems, discussing testing methods, properties, definitions, and their relationship.

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

Covers BIBO stability, Lyapunov stability, state feedback, and eigenvalue assignment.

Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.

Explores full state feedback control design, focusing on pole placement and linear state-feedback controller design for systems like a pendulum.

Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.

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

Delves into the observability of LTI systems, covering controllability, duality, and observability tests.

Covers optimization, control problems, and neural networks in the context of the transport equation.

Explores stability and eigenvalues of LTI systems, reachability, and controllability of dynamical systems.

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