Optimal Control Theory: OCPs

Related lectures (23)

Page 2 of 3

Introduces control theory fundamentals, including controllability and invertibility of systems.

Covers the concept and calculation of directional derivatives in multivariable calculus.

Covers differential calculus applications and reminders, emphasizing the importance of differentiability in mathematical analysis.

Covers the basic concepts of control theory and the selection of optimal controls.

Covers variational methods, equilibrium shapes, Euler's Elastica, and numerical and analytical methods for solving Euler's Elastica.

Covers topics in Calculus of Variations, including regularity results and implicit function theorems.

Covers Hilbert's theorem, direct methods, and Sobolev spaces, including classical and modern methods.

Explores conditions for non-differentiability in multivariable calculus and the implications of the differentiability theorem.

Explores the definition and derivability of functions in differential calculus, emphasizing differentiability at specific points.

Explains partial derivatives, Hessienne matrix, and their properties.