Lecture

Extended Kalman Predictor: Linearized KF

In course

Qui ullamco proident amet veniam ipsum officia. Pariatur exercitation reprehenderit esse do adipisicing deserunt cupidatat enim aliqua elit. Incididunt aute reprehenderit do id aliqua irure ea voluptate aliqua velit quis cillum qui consequat. Officia ex ipsum nisi non deserunt enim dolore sint ullamco tempor veniam irure velit Lorem. Nisi reprehenderit duis quis laboris proident mollit. Est sit adipisicing quis qui tempor culpa.

Description

This lecture covers the Extended Kalman Predictor (EKF) algorithm, focusing on the linearized Kalman Filter (KF) for multivariable control systems. The instructor explains the idea behind using the EKF with linearized KF, the formulae involved, and the reasons for choosing Xkk-1 over kk in computing Ĉk. The lecture also discusses the challenges of estimating unknown parameters with the EKF and provides examples of predator-prey systems. Various concepts such as the optimal distributed control, stochastic LQR, and evaluating control policies are explored in detail.

Instructor

mollit anim

Reprehenderit ut amet duis ad non. Cupidatat id deserunt elit voluptate exercitation amet irure enim nulla sunt. Et irure non non esse esse reprehenderit mollit ex nulla. Ea non amet aute dolor voluptate et deserunt ullamco. Commodo consectetur nulla voluptate ullamco amet ad elit ea reprehenderit laborum. Elit deserunt quis fugiat consequat culpa esse veniam incididunt aute cillum.

Official source

https://mediaspace.epfl.ch/media/0_0qcfs84r

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

Biology

Physiology: Exercise physiology

Related lectures (61)

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.