Optimal control

Related lectures (32)

Page 3 of 4

Covers the design of estimators and controllers for multivariable systems, focusing on state estimation and disturbance rejection.

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

Covers the concept and benefits of ramp metering, its implementation issues, and case studies from Amsterdam and Australia.

Covers Newton's method on Riemannian manifolds, focusing on second-order optimality conditions and quadratic convergence.

Covers state-space control design, including state-feedback, observer, and linearization.

Covers the control and monitoring of dams and hydraulic structures.

Covers the stochastic endowment consumption model, log-linear transformation, impulse response solution, and Matlab codes.

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

Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Explores Dynamic Programming for optimal control, focusing on stability, stationary policy, and recursive solutions.