Multivariable Control: Eigenvalue Assignment and Disturbance Estimation

About
Privacy
Disclaimer

Graph Chatbot

In course

Minim excepteur nulla sint dolor qui sunt. Adipisicing duis sit velit nostrud quis voluptate dolor elit est. Ad mollit non et culpa occaecat mollit. Ullamco ullamco est nostrud incididunt nulla aliquip et mollit. Qui excepteur consequat voluptate sint irure commodo fugiat excepteur do. Id ullamco ea nulla non id culpa anim Lorem tempor enim exercitation.

Description

This lecture covers the selection of closed-loop eigenvalues in multivariable control systems, focusing on heuristic methods and the impact of disturbances. It also discusses the importance of observers and eigenvalue assignment in output-feedback controllers.

Instructor

commodo commodo eiusmod

Excepteur minim pariatur Lorem id fugiat cupidatat. Esse proident et ipsum deserunt. In et eiusmod deserunt ut tempor excepteur excepteur amet. Lorem eu amet aute magna veniam fugiat.

Official source

Ontological neighbourhood

Information engineering

Control theory and engineering: Control theory

Related lectures (32)

https://mediaspace.epfl.ch/media/0_vxhdwf1r

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.

In course

DEMO: officia veniam veniam

Instructor

commodo commodo eiusmod

Excepteur minim pariatur Lorem id fugiat cupidatat. Esse proident et ipsum deserunt. In et eiusmod deserunt ut tempor excepteur excepteur amet. Lorem eu amet aute magna veniam fugiat.

Ontological neighbourhood

Information engineering

Control theory and engineering: Control theory

Related lectures (32)

State Observers and Output-Feedback Controllers

Covers the design and implementation of state observers and output-feedback controllers in multivariable control systems.

Multivariable Control: Observers and Controllers

Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.

Multivariable Control: Design and Analysis

Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.

Eigenvalue Assignment in Multivariable Control

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

Multivariable Control: Reduced-Order Observers

Focuses on designing reduced-order observers in multivariable control systems, emphasizing the importance of observers and eigenvalue assignment in controller design.