StateSpace Pole Locations

Related lectures (32)

Page 1 of 4

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

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

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

Covers the proof of the recursive formula for the optimal gains in LQ control over a finite horizon.

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

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Covers a Q&A session on analog circuits, focusing on practice exams, filters, oscillators, and feedback structures.

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

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

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