Lectures related to Observability and Governability

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

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

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

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

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

Covers the design of a regulator and state estimator for optimal control.

Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.

Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.

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

Covers the integration of control and estimation in dynamic systems.

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

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

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

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

Covers state representation, controller design, LQR controllers, and optimal control criteria.

Covers the computation of tracking performance and transfer functions in digital control systems.

Covers an example of computing a linear controller to minimize closed-loop performance.

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

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

Covers fault simulation, testability analysis, and fault list generation in VLSI systems.