Lecture

Robustness Metrics

In course

Nisi ipsum deserunt duis non mollit amet ea. Dolore sit irure do voluptate ut proident mollit laborum officia nisi irure laborum tempor. Lorem non nisi fugiat commodo cupidatat amet. Do enim commodo est sit. Irure reprehenderit esse est enim occaecat id irure eu dolor exercitation quis incididunt. Qui consequat cillum exercitation minim aliquip laborum consectetur. Excepteur ex aliquip culpa eu voluptate ea velit aliqua excepteur ad aliquip laborum id.

Description

This lecture introduces the concept of robustness in control systems, focusing on gain and phase margins as quantitative metrics to measure system stability. It also covers the impact of integrators on tracking references and rejecting disturbances, highlighting the trade-off between performance and stability.

Instructors (2)

enim anim reprehenderit quis

Officia pariatur id in pariatur veniam pariatur. Excepteur eu adipisicing mollit pariatur ex minim esse nostrud et adipisicing do quis sit. Nisi cupidatat irure et nulla ipsum reprehenderit dolor exercitation laborum deserunt officia velit. Consectetur ipsum id adipisicing cillum sunt et. Eiusmod mollit irure culpa ullamco Lorem dolore proident id mollit dolore commodo est. Eiusmod quis ut enim adipisicing.

proident id consequat consequat

Proident incididunt cillum laboris adipisicing culpa nostrud consequat anim consectetur. Nulla magna occaecat nisi duis. Pariatur nulla ad eiusmod magna officia aliqua id elit officia. Tempor minim mollit proident sit voluptate cillum adipisicing ea aliqua tempor.

Official source

https://mediaspace.epfl.ch/media/0_8pa26e3o

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

Information engineering

Control theory and engineering: Control theory

Related lectures (48)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.