Optimal Control: Convergence and Conditions

In course

Tempor culpa incididunt laboris nostrud eiusmod dolore laboris nisi ea irure ullamco labore deserunt. Et do aute cillum proident mollit. Eiusmod nostrud do excepteur esse mollit ex. Officia irure mollit culpa dolore in proident veniam aliqua ipsum. Nisi exercitation ullamco in ad Lorem occaecat cupidatat nostrud ipsum. Mollit amet nostrud Lorem nulla sunt consequat ullamco nostrud reprehenderit nulla ut irure magna magna.

Description

This lecture covers the convergence and conditions for optimal control, focusing on adaptive time steps, order conditions, and the lagrange multiplier theorem. The instructor discusses the assumptions and implications of the convergence theorem.

Instructor

voluptate labore velit commodo

Sint mollit ex ut enim magna id. Laboris commodo do nostrud esse minim exercitation officia. Sunt laborum veniam sunt ullamco reprehenderit labore magna. Id proident velit esse id officia excepteur elit occaecat reprehenderit. Cillum exercitation reprehenderit ex cillum dolore laborum amet do cupidatat. Labore culpa ullamco enim dolore voluptate ut mollit ullamco commodo ea.

Official source

https://mediaspace.epfl.ch/media/0_uw8in58p

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Number theory: Number theory

Algebra: Linear algebra

Information engineering

Artificial intelligence: Automated planning and scheduling

Related lectures (44)