Observability in Multivariable Control

Related lectures (32)

Page 1 of 4

Explores duality, PBH test, observability, and exact discretization in multivariable control systems.

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

Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.

Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

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

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

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

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

Explores multivariable control, optimal laws, and system stability theorems, emphasizing the importance of observability.

Explores Ackermann's formula and methods for eigenvalue assignment in multivariable control systems.